Associate Director – Data Engineering (Databricks Lakehouse Architect)

Inside Sales Executive – Software & Technology Solutions Location: Remote (UK) Salary: Competitive Base Salary + Performance Bonus Experience: 3+ Years Join a Growing Technology Business We are supporting an innovative software business seeking an energetic and commercially minded Inside Sales Executive to help drive its next phase of growth. This role is ideal for a sales professional who enjoys engaging with prospective customers, identifying business challenges, and helping organisations adopt technology solutions that deliver measurable value. You'll work with a steady flow of qualified opportunities, managing the entire sales journey from initial conversation through to contract completion. This is a consultative sales position where relationship-building, commercial awareness, and customer engagement are just as important as achieving revenue targets. The Opportunity As an Inside Sales Executive, you'll play a key role in generating new business revenue while developing long-term relationships with customers across a range of industries. Working alongside technical specialists, marketing teams, and strategic partners, you'll gain a detailed understanding of customer requirements and position software solutions that support operational improvement, digital transformation, and business growth. Key Responsibilities Manage and progress a pipeline of qualified sales opportunities. Conduct discovery conversations to understand customer objectives, challenges, and requirements. Present software solutions and articulate their commercial and operational benefits. Guide prospects through the complete sales cycle, from qualification to closing. Develop and maintain strong relationships with decision-makers and stakeholders. Produce proposals, quotations, and commercial documentation. Collaborate with internal teams to ensure a smooth customer experience throughout the sales process. Accurately maintain CRM records, forecasts, and pipeline updates. Consistently achieve individual revenue and performance objectives. Identify opportunities for account growth and future business development. About You We're keen to speak with ambitious sales professionals who have experience selling technology products or services in a B2B environment. Essential Experience Previous experience in inside sales, business development, account management, or software sales. Demonstrated success in managing opportunities and winning new business. Experience selling SaaS, software, IT services, or technology-based solutions. Excellent communication and interpersonal skills. Strong negotiation and closing abilities. Ability to manage multiple opportunities simultaneously. Experience working with CRM platforms and sales reporting tools. Self-motivated, organised, and results-driven mindset. Desirable Skills Experience within software, digital technology, data analytics, or business intelligence sectors. Knowledge of location-based technologies, mapping platforms, or data-driven applications. Previous experience working with partner networks, resellers, or referral channels. Exposure to solution-led or consultative selling approaches. What's on Offer? Fully remote working model. Competitive salary and uncapped bonus potential. Access to warm, qualified sales opportunities. Career progression within a growing technology organisation. Continuous training and professional development. Supportive and collaborative team environment. Opportunity to work in a fast-growing sector with strong long-term prospects. This is an excellent opportunity for a driven sales professional looking to join a high-growth technology business where they can take ownership of opportunities, make a direct commercial impact, and build a rewarding long-term career.

Head of Business Development – Europe | HVAC Location: Bucharest, Romania, or another relevant European market Industry: HVAC (Heating, Ventilation, Air Conditioning & Climate Solutions) Travel: Frequent international travel required About the Role We are seeking an experienced Head of HVAC Business Development, Europe to lead the growth and expansion of a regional HVAC business across Eastern and Central Europe, with opportunities to enter additional European markets. This is a strategic leadership opportunity for a commercially driven professional with strong HVAC industry knowledge, a proven track record in business development, and experience managing regional operations, building teams, and negotiating with international manufacturers. The successful candidate will be responsible for developing and executing the European HVAC growth strategy, expanding market share, strengthening distribution and partner networks, and driving sustainable revenue growth and profitability, of course supported by an established customer base, commercial infrastructure, and logistics capabilities. Why Consider This Opportunity? Regional leadership: Shape and execute an HVAC growth strategy across multiple European markets. Business-building mandate: Scale an established business rather than start from scratch. Commercial autonomy: Influence market strategy, partnerships, product portfolio, and sales execution. International exposure: Work directly with global manufacturers and regional business leaders. Team development: Build strong local teams and establish scalable commercial operations. Long-term impact: Play a key role in expanding a regional HVAC business into a significant European market player. Key Responsibilities Business Strategy & Growth Define and implement the European HVAC business development strategy, aligned with long-term growth and profitability objectives. Accelerate revenue growth by strengthening market penetration, increasing market share, and identifying new business opportunities. Develop and execute country-specific commercial plans, adapting strategies to local market conditions. Identify opportunities to expand the business into new Central, Eastern, and Western European markets. Drive cross-selling initiatives, portfolio development, and customer acquisition. Commercial Leadership & Financial Performance Take ownership of the HVAC business's commercial performance, revenue growth, and profitability, including P&L management. Establish business objectives, budgets, sales targets, and performance indicators. Monitor market trends, competitor activity, and customer needs to identify opportunities for sustainable growth. Implement effective sales processes and performance management practices across regional operations. International Partnerships & Supplier Management Build and maintain strategic relationships with leading international HVAC manufacturers and technology suppliers. Lead negotiations on commercial terms, pricing, product availability, and strategic partnerships at regional or group level. Develop a competitive product portfolio covering key HVAC technologies, including heat pumps, air conditioning, and energy-efficient climate solutions. Identify new suppliers, technologies, and partnership opportunities that strengthen the business's market position. Market Development & Partner Networks Expand and strengthen relationships with installers, engineering consultants, designers, distributors, contractors, and service providers. Develop strategic sales channels and regional partner networks to support long-term growth. Improve partner engagement through technical support, product training, and high-quality after-sales services. Build strong relationships with key accounts and strategic customers across multiple markets. Leadership & Organizational Development Assess existing capabilities and develop an effective regional HVAC organizational structure. Build and develop local commercial teams in the relevant countries. Recruit, lead, coach, and mentor local managers and commercial professionals. Establish a culture of accountability, collaboration, performance, and continuous improvement. Work closely with local country leadership to align regional strategy with country-level business objectives. Digital Transformation & Process Improvement Modernize commercial processes and improve sales effectiveness through digital tools and technology-enabled solutions. Introduce digital quotation tools, data-driven decision-making, and AI-enabled applications where appropriate. Standardize best practices and develop scalable processes across regional markets. Key Objectives Deliver year-on-year revenue growth, subject to market conditions and agreed business plans. Accelerate growth in the established Romanian market while developing regional operations. Strengthen the business across Romania, Bulgaria, Serbia, and the Republic of Moldova, with potential expansion into additional markets. Develop a scalable regional HVAC business. Improve profitability, expand strategic partnerships, and establish a strong commercial presence across Europe. Candidate Profile The ideal candidate combines technical understanding of the HVAC industry with strong commercial leadership and entrepreneurial business-building capabilities. Essential Requirements University degree in Engineering, Business, Economics, or a related field. At least 7 years of professional experience in the HVAC industry or a closely related technical sector. At least 3 years of leadership experience in a senior commercial or general management position, such as General Manager, Commercial Director, Business Unit Head, or Country Manager. Demonstrated success in business development, revenue growth, market expansion, and commercial channel development. Experience managing business performance, budgets, and P&L responsibilities. Proven experience negotiating and developing partnerships with international HVAC manufacturers. Strong understanding of HVAC technologies, distribution models, and industry dynamics. Experience leading teams and coordinating business activities across multiple countries. Fluency in English. Willingness and availability to travel frequently across regional and international markets. Preferred Qualifications Experience in Central and Eastern European markets. Existing relationships with HVAC manufacturers, distributors, installers, and engineering partners. Experience scaling a regional business or expanding into new international markets. Familiarity with digital sales tools, CRM systems, AI-enabled commercial solutions, and process automation. Knowledge of additional European languages. Key Competencies Strategic thinking and entrepreneurial mindset. Strong commercial acumen and business development expertise. Leadership and organizational development. Financial management and results orientation. International negotiation and relationship management. Change management and execution discipline. Analytical thinking and data-driven decision-making. Ability to influence stakeholders across different countries and cultures. Openness to innovation, digitalization, and emerging technologies. Location & Mobility The preferred base is Bucharest, Romania, although qualified candidates based in other relevant European markets may also be considered. Relocation to Bucharest is not necessarily required for candidates based elsewhere. The role involves regular travel to regional markets, customers, manufacturers, and business partners, with an expected travel commitment of approximately 40–50% during the initial year. Candidates with relevant experience in Poland, Hungary, Slovakia, Germany, and other European HVAC markets are encouraged to apply. Compensation & Benefits The compensation package will be tailored to the candidate's experience, qualifications, and overall suitability for the role. It is expected to include: Fixed salary: EUR 4,000 to 6,000 net per month, depending on profile. CIM or B2B both forms accepted Variable component: a performance-based scheme linked to turnover and profitability targets will be discussed. [TBD] Company car. Profit sharing: on top of the above – possible depending on performance Salary, working model and other employment benefits are confirmed depending on the specific client mandate and needs. GDPR Notice: By applying for this role, candidates implicitly consent to their personal data being processed by Antal, unless otherwise advised in writing.Please note that our career ads may use approximate salary levels as a guide. However, we are happy to consider applications from all candidates who can demonstrate the skills necessary to fulfill the role. We can only respond to the best-fit applicants within an average response time of a maximum of four weeks. The rest of the CVs are stored in our international talent pool for potential future matches. Please note that your personal information will be treated under our Privacy Policy. Thank you!

We are seeking a talented Lead Gen AI Engineer to join our team and revolutionize the way we generate leads using advanced artificial intelligence technology. As a Lead Gen AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI solutions to drive our lead generation efforts. Key Responsibilities: - Collaborate with cross-functional teams to understand lead generation requirements and develop AI solutions to meet those needs. - Design and implement machine learning models for lead scoring, lead segmentation, and lead qualification. - Utilize natural language processing techniques to extract insights from unstructured data sources for enhanced lead generation. - Build and optimize algorithms for predictive analytics to identify potential leads and opportunities. - Develop strategies for data preprocessing, feature engineering, and model evaluation to improve lead generation accuracy. - Stay updated on the latest AI and ML technologies, tools, and trends in lead generation to enhance our competitive edge. Required Skills: - Solid understanding of machine learning, deep learning, and natural language processing concepts. - Proficiency in programming languages such as Python, R, or Java for AI model development. - Experience with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. - Strong analytical skills and the ability to translate business requirements into AI solutions. - Knowledge of data visualization techniques to communicate AI insights effectively. - Excellent communication skills to collaborate with team members and stakeholders. - Ability to work in a fast-paced environment and adapt to evolving technologies and business needs. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Preferred Skills: - Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. - Knowledge of big data technologies like Hadoop, Spark, or Kafka for processing large datasets. - Familiarity with A/B testing methodologies to evaluate the performance of AI models. - Previous experience in lead generation or digital marketing using AI technology. If you are passionate about leveraging AI to drive lead generation strategies and have the skills to develop innovative solutions, we would love to have you on our team as a Lead Gen AI Engineer. Join us in shaping the future of lead generation through artificial intelligence!

Senior General Artificial Intelligence (AI) SpecialistWe are seeking a talented and experienced Senior General AI Specialist to join our team and contribute to our cutting-edge AI projects. As a Senior General AI Specialist, you will be responsible for designing, developing, and implementing complex AI algorithms and models that can perform a variety of tasks and adapt to dynamic environments. Key Responsibilities: - Lead the design and implementation of advanced AI solutions to address complex business problems. - Collaborate with cross-functional teams to understand project requirements and develop customized AI solutions. - Conduct research to stay up-to-date with the latest advancements in AI technology and propose innovative solutions. - Mentor and provide guidance to junior team members to foster continuous learning and development. - Analyze and evaluate the performance of AI models to ensure accuracy, efficiency, and effectiveness. - Document technical specifications, guidelines, and best practices for AI development projects. Required Skills and Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - Proven experience working with a variety of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. - Strong programming skills in languages such as Python, Java, or C++. - Experience with AI frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn. - Solid understanding of data structures, algorithms, and statistical concepts. - Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. - Strong problem-solving skills and the ability to work in a fast-paced environment. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. If you are passionate about AI technology and eager to work on challenging projects that push the boundaries of innovation, we would love to hear from you. Join our team as a Senior General AI Specialist and help us shape the future of intelligence.

Manager - Pre Sales Location: Bangalore Years of Experience: 5+ years in marketing, Risk & Collection Analytics Reports to: VP-Pre-Sales About Company Company is an Enterprise AI software company for Financial Services. Our next generation AI platform *.ai automates the entire life cycle of data science and machine learning and helps organizations to rapidly develop, deploy, manage, govern and operationalize AI applications at scale ethically & responsibly. Our flagship product ‘iTuring” is designed to develop highly accurate, trusted & explainable models and deploy advanced machine learning/deep learning models in production with just a few clicks with real time scoring and monitor success & failure of models. It is a zero-code platform which is designed in such a way that anyone can use it to accelerate their AI journey and enable AI based solution in a matter of few hours rather than waiting for months and weeks. Our AutoAI platform augments the capability of data science team manifold, empowering them to be faster, consistent, accurate and focus on solving business problems rather than coding. Headquarters: Bangalore, India with offices in USA and South Africa. The focus of this role will be to support the team in South Africa, but may also be required to support other teams depending on operational requirements. Job Role & Responsibilities Solution Design & Strategy: Lead the design, development, and delivery of complex pre-sales data science and machine learning solutions. Collaborate with sales executives to identify opportunities, qualify leads, and craft value-driven proposals. Engage with prospective clients to understand their strategic business needs and identify how data science and ML can solve their challenges. Create and deliver high-impact, customized presentations, demonstrations, and proposals showcasing our Automated AI and ML capabilities. Provide subject matter expertise on AI, ML, big data analytics, and related technologies. Lead product demonstrations, align CI to the vision of the customers’ goals, lead the Proof of Value process, and quantify the business impact of CI. Leadership & Team Management: Lead and mentor a team of Pre-Sales professionals, providing guidance on best practices for solution development, client interactions, and overall sales strategy. Collaborate with Sales, Delivery, and Product teams to ensure seamless handover and successful project execution. Define the Pre-Sales process and develop standardized materials and templates for RFPs, proposals, and client engagements. Stay up to date with industry trends and emerging technologies to ensure the solutions offered are cutting-edge. Act as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using CI - including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption. Proposal & Bid Management: Lead the creation of comprehensive and compelling AI proposals, including scope, timelines, costs, and solution approach. Support RFP responses, ensuring alignment with client requirements and company capabilities. Manage and coordinate with internal teams to ensure that proposals are delivered on time, within budget, and meet quality standards. Specific Expertise Required Qualifications & Experience Education: Bachelor’s degree in computer science, Engineering, Data Science, or a related field. A Master’s degree or MBA is a plus. Experience: 5+ years of experience in the field of data science, or machine learning with at least 5 years in a Pre-Sales or Solution Engineering leadership role. Proven track record of leading successful sales cycles for complex AI and ML solutions, with a deep understanding of the sales process. Strong understanding of data engineering, data analytics, artificial intelligence, and machine learning technologies. Strong domain knowledge in developing credit risk scorecard, debt collection scorecard, customer acquisition scorecard etc. for financial services. Ability to lead and mentor a team of technical professionals, providing coaching and growth opportunities. Technical / Functional Skills Technical: Deep knowledge in designing and conceptualizing analytical solution, predictive modeling, and building analytics pipelines for banking or insurance. Strong knowledge of big data technologies, cloud platforms (AWS, Azure, GCP), and analytics tools. Familiarity with emerging trends in artificial intelligence, deep learning, NLP, and automated machine learning. Soft: Excellent communication skills, both verbal and written, with the ability to present to executives and technical teams, particularly in South Africa. Previous experience with customers in Africa is an advantage. Strong problem-solving skills, with the ability to think creatively and propose innovative solutions. Strong business acumen, with the ability to translate technical capabilities into business value. Ability to handle complex, high-pressure situations and drive multiple opportunities to successful closures.

Partner with Antal International in Mauritius Antal International is a globally respected recruitment network with 30+ years of proven success. We’re expanding in Mauritius and looking for ambitious professionals to launch and lead a new office under our internationally recognized brand in virgin markets where Antal does not yet have a presence, this is your chance to pioneer and dominate new territories. Why Choose Antal? Global Reputation & Expertise Build your business on a foundation of 30+ years of proven methodologies and industry knowledge. Access to Powerful Resources Tap into a database of 60,000+ global clients and 780,000+ qualified candidates. Unmatched Marketing Reach Benefit from exposure to 1.5 annual website visitors and 1.4M LinkedIn followers. Comprehensive Training & Support From onboarding to continuous development, we guide you every step of the way. Advanced Technology Utilize smart tools, including AI-driven solutions, for seamless operations. Global Network Collaborate with recruitment leaders across 130+ countries and access new markets. Lead with Purpose This is your opportunity to transform your professional experience into a thriving business. With Antal’s proven systems and tools, you can: Capitalize on your industry expertise and network. Deliver impactful hiring solutions to international clients. Achieve financial independence and long-term success. No prior recruitment experience required, our training and support will empower you from day one. Who We’re Looking For: Corporate Experience: 5–10+ years in a managerial or specialist role. Entrepreneurial Drive: Full-time commitment to building your business. Relationship Builder: Strong networking and communication skills. Ambition to Grow: A mindset focused on success and development. Your Path with Antal International We Provide For You: World-class training in international recruitment. Ongoing operational, marketing, and business support. Network of current owners for business sharing and development internationally Access to digital tools, brand exposure, and global networking events. You Need To Bring: Industry insight, a strong professional network, and the drive to succeed. Please note this is not a job opportunity it is a Franchise Business Opportunity Apply today and start building your future with Antal International!

Job Title: Engagement Manager – CPG & Retail - USA Industry: Information Technology (IT) – AI, Data & Analytics Consulting / CPG & Retail Location: New York, NY Salary: USD 150,000–180,000 per annum per annum + Benefits Work Authorization: US Citizens and Green Card holders only; immigration sponsorship is not available The Opportunity We are seeking an experienced Engagement Manager – CPG & Retail with a strong background in enterprise AI, Data & Analytics consulting and hands-on domain experience working with Consumer Packaged Goods (CPG) and/or Retail organisations. This is a senior individual-contributor, client-facing role combining technical sales support, AI and analytics consulting, client advisory, solution shaping, executive stakeholder engagement, and pre-sales/delivery collaboration. The successful candidate will bring strong technical understanding across AI, data engineering, analytics and enterprise transformation, together with the commercial acumen and executive presence required to operate as a trusted advisor to senior business and technology stakeholders. Key Responsibilities Client Advisory & Technical Sales Partner with sales and account leadership teams to drive strategic AI and analytics conversations with enterprise CPG and Retail clients. Lead discovery workshops, executive discussions and solutioning sessions. Translate business priorities into scalable AI, data and engineering solutions. Shape proposals, Statements of Work and strategic transformation roadmaps. Support major deal pursuits, RFP responses and client presentations. AI, Data & Analytics Consulting Advise clients across: Generative AI and LLM ecosystems Machine Learning and Advanced Analytics Data Engineering and Modern Data Platforms Cloud platforms including AWS, Azure and GCP MLOps / AI Ops Enterprise Architecture and scalable AI deployment BI and visualisation Data Governance and Enterprise Data Strategy Provide practical guidance on operationalising AI and analytics solutions at enterprise scale. CPG & Retail Domain Solutions Apply hands-on CPG and/or Retail expertise across use cases including: Revenue Growth Management (RGM) Demand Forecasting Supply Chain Analytics Retail Execution Customer Analytics Marketing Effectiveness Pricing & Promotions Personalisation Trade Promotion Optimisation Executive Stakeholder Management Build credibility with CIOs, CDOs, CTOs and senior Data, Analytics, Digital and Business leaders. Act as a trusted strategic advisor during complex client engagements. Independently lead senior-level client conversations. Navigate complex, cross-functional enterprise environments with confidence and strong executive presence. Cross-Functional Collaboration Work closely with consulting, engineering, data science and delivery teams. Bridge business strategy with technical execution. Collaborate across pre-sales, solution design and delivery activities. Mentor junior colleagues where appropriate during client pursuits and advisory engagements. Candidate Profile Essential Experience 10+ years' experience in enterprise AI/Data consulting, technical pre-sales, analytics consulting, solution architecture or client-facing engineering leadership. Hands-on practitioner experience within the CPG and/or Retail domain is essential. Direct experience serving enterprise CPG and/or Retail clients. Proven experience leading discovery workshops, executive discussions and solutioning sessions. Experience supporting RFP responses and shaping proposals, Statements of Work and transformation roadmaps. Demonstrated credibility with CIO, CDO, CTO, Data & Analytics, Digital and senior business leadership. Ability to independently lead sophisticated client conversations and operate effectively in ambiguous environments. Technical Expertise Strong working knowledge across: Generative AI and Large Language Models Machine Learning and Advanced Analytics Data Engineering and Modern Data Platforms AWS, Azure and/or Google Cloud Platform MLOps / AI Ops Enterprise Architecture Scalable AI deployment BI and Visualisation Data Governance Enterprise Data Strategy Consulting & Communication Skills Exceptional communication and executive presentation skills. Strong storytelling and business translation capabilities. Ability to translate complex technical concepts into clear business outcomes. Strong commercial acumen and solution-oriented mindset. Confidence operating independently in senior client environments. Ability to communicate effectively with executives, technical specialists and engineering teams. Comfortable working in fast-paced and ambiguous environments. Preferred Background Experience working with Fortune 500 or similarly complex multinational clients. Background within leading consulting, enterprise AI, analytics, cloud or digital-transformation organisations. Existing relationships within CPG and/or Retail ecosystems. Experience supporting major enterprise transformation pursuits. Strong understanding of enterprise operating models and digital transformation. What We’re Looking For We are particularly interested in professionals who can: Operate autonomously. Establish credibility quickly with enterprise clients. Go deep technically when required. Lead strategic and technical client conversations. Balance strategic thinking with hands-on execution. Connect business priorities with practical AI, data and analytics solutions. This opportunity will suit an experienced consulting professional who enjoys working at the intersection of AI, data, technology and business transformation and brings genuine practitioner-level expertise within the CPG and Retail sectors.

Job Title: Senior Data Scientist – Machine Learning & GenAI - USA Industry: Data Science / Machine Learning / Generative AI Location: Houston, Texas, USA Salary: USD 125,000–150,000 per annum per annum + Benefits Work Authorization: US Citizens, Green Card holders and candidates with valid H-1B status About the Role We are seeking an experienced Senior Data Scientist – Machine Learning & GenAI with a strong foundation in traditional machine learning and data science, complemented by hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agentic AI workflows. This is a highly applied role requiring someone who has built and implemented data science and AI solutions in real-world commercial or enterprise environments. We are particularly interested in candidates who combine strong technical capability with the confidence to engage directly with customers and work effectively across product and engineering teams. The successful candidate should not be purely academic or research-focused. Practical implementation experience, commercial awareness and strong communication skills are essential. Key Responsibilities Design, develop and deploy machine learning and statistical models to solve complex business problems. Develop practical Generative AI and LLM-based solutions, including RAG architectures and agentic AI workflows. Analyse large and complex datasets to identify trends, patterns and actionable business insights. Build predictive and analytical models that support product development and data-driven decision-making. Work closely with product managers, engineers and other stakeholders to integrate machine learning and GenAI capabilities into enterprise products and services. Translate customer and business requirements into scalable data science and AI solutions. Participate confidently in customer-facing discussions, communicating technical concepts, findings and recommendations to both technical and non-technical audiences. Evaluate and improve model performance, reliability and business impact. Provide guidance and mentorship to junior data scientists where appropriate. Keep abreast of developments in machine learning, Generative AI, LLMs and related technologies. Required Experience & Skills 7–15 years of relevant professional experience in data science, machine learning or a closely related discipline. Strong hands-on experience with traditional machine learning algorithms, predictive modelling and statistical techniques. Practical experience developing and implementing Generative AI and LLM-based applications. Hands-on knowledge of Retrieval-Augmented Generation (RAG) architectures and implementation. Experience with agentic AI or agent-based workflows. Strong proficiency in Python and/or R, including relevant data manipulation and machine learning libraries. Experience with frameworks such as Scikit-learn, PyTorch and/or TensorFlow. Strong SQL skills and experience working with large datasets. Experience with big-data technologies such as Spark, Hadoop or comparable platforms. Experience taking machine learning or AI solutions beyond experimentation into practical implementation or production. Strong analytical and problem-solving capabilities. Excellent written and verbal communication skills. Ability to engage confidently with customers and explain complex technical concepts to non-technical stakeholders. Proven ability to collaborate effectively with engineering, product and business teams. Preferred Qualifications Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Engineering or another relevant quantitative discipline. Experience developing data science or AI capabilities for enterprise products or platforms. Experience deploying ML and GenAI solutions into production environments. Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud Platform. Experience with data visualisation or business intelligence tools such as Tableau or Power BI. Previous customer-facing, consulting or product-oriented experience. Experience mentoring or technically guiding junior data scientists. What We Are Looking For The ideal candidate will combine three important dimensions: Strong Machine Learning FoundationYou should have substantial experience in traditional data science, statistical modelling, predictive analytics and machine learning. GenAI experience alone will not be sufficient. Practical GenAI CapabilityYou should be able to demonstrate hands-on experience building or implementing LLM applications, RAG solutions and/or agentic AI workflows for genuine business use cases. Commercial & Customer EngagementYou should be comfortable working beyond the technical environment, engaging with customers, understanding business requirements and explaining sophisticated AI and data science solutions clearly. Candidates should ideally be able to discuss specific examples of models or AI solutions they have developed, how these were implemented, the business problem addressed and the resulting impact. Working Environment You will work within a collaborative, product-focused environment alongside data scientists, engineers, analysts and product professionals developing innovative AI and data-driven solutions for enterprise customers. The environment places a strong emphasis on practical implementation, collaboration, continuous learning and measurable business outcomes, providing an opportunity to work at the intersection of established machine learning techniques and emerging Generative AI technologies.

Job Title: Account Growth Manager – Healthcare (Payer) Industry: AI, Data & Analytics Consulting Location: Minnesota, USA Salary: USD 130,000 – 170,000 + Performance Bonus Work Authorization: US Citizen or Green Card Holder only. Sponsorship is not available for this position. About the Opportunity Our client is a leading global consulting and technology firm specializing in artificial intelligence, advanced analytics, and digital transformation. Working with large enterprise organizations, they help clients improve business performance through innovative, data-driven solutions. They are seeking an experienced Account Growth Manager to lead strategic relationships within the U.S. healthcare payer market and drive long-term account growth. The Role This position is responsible for managing and expanding relationships across healthcare payers, including health insurers, third-party administrators (TPAs), and government-sponsored healthcare programs. You will serve as a trusted advisor to clients while driving account growth, customer satisfaction, and successful delivery of strategic initiatives. Key Responsibilities Manage a portfolio of healthcare payer accounts, ensuring high levels of client satisfaction and retention. Build trusted relationships with executive and operational stakeholders. Understand clients' operational, regulatory, and strategic priorities. Lead contract negotiations, renewals, and business reviews. Partner with internal consulting, analytics, product, and delivery teams to deliver tailored solutions. Monitor account performance against KPIs, SLAs, and service commitments. Identify opportunities to expand existing client relationships through additional services and solutions. Stay informed on healthcare payer trends, reimbursement models, value-based care initiatives, and regulatory developments. Candidate Profile The successful candidate will have: 10+ years of experience in healthcare account management, client partnerships, or business development, preferably supporting healthcare payer organizations. Strong understanding of payer operations, claims processing, provider network management, and value-based care models. Excellent communication, relationship management, and negotiation skills. Familiarity with healthcare data standards, including ICD-10, CPT, and HL7/FHIR. Experience using CRM platforms such as Salesforce and reporting tools. A proven track record of growing strategic accounts and delivering exceptional client outcomes. Compensation & Benefits A competitive package is offered, including a base salary of USD 130,000–170,000, performance-based bonus, and a comprehensive benefits package.

Job Title: Engagement Manager – Strategic Alliances (CPG & Retail) Industry: AI, Data & Analytics Consulting Location: New York, NY / East Coast Preferred (Onsite) Salary: USD 148,000 – 183,000 + Performance Bonus Work Authorization: This position is not eligible for immigration sponsorship. Overview Our client, a leading global AI, data and analytics consulting firm, is seeking an experienced Engagement Manager – Strategic Alliances to drive strategic partnerships within the Consumer-Packaged Goods (CPG) and Retail sector. This is a highly visible, revenue-generating individual contributor role responsible for developing strategic alliances, driving co-sell initiatives, executing joint go-to-market (GTM) strategies, generating pipeline and strengthening executive-level relationships across key technology partners. The successful candidate will possess a strong understanding of enterprise cloud, data and AI ecosystems and have a proven track record of building high-value partnerships that accelerate revenue growth. Key Responsibilities Strategic Alliance Management Build and manage strategic alliance relationships supporting the CPG & Retail business. Develop and execute joint business plans aligned with revenue, pipeline and long-term growth objectives. Establish trusted relationships with partner sales teams, solution architects, industry specialists and executive stakeholders. Lead executive governance, quarterly business reviews (QBRs), account planning sessions and strategic partner engagement. Co-Sell & Go-to-Market Execution Identify, develop and accelerate joint sales opportunities with strategic technology partners. Coordinate joint account planning across enterprise customers. Execute joint GTM campaigns, industry events, workshops and customer engagement initiatives. Collaborate closely with internal sales, consulting and client leadership teams to position AI, analytics, cloud and data solutions. Pipeline & Revenue Growth Generate qualified pipeline through partner-originated and partner-influenced opportunities. Monitor co-sell performance, partner-generated revenue, certifications and marketplace opportunities. Ensure alignment with partner incentive programmes, funding initiatives and strategic growth plans. Technology & Ecosystem Leadership Maintain strong knowledge of enterprise technologies, including: Cloud platforms AI, Machine Learning (ML) and Generative AI Data engineering and analytics platforms Modern data architectures Enterprise cloud transformation programmes Partner closely with consulting, solution architecture and delivery teams to align customer solutions with strategic technology priorities. Stay current with emerging technologies, partner roadmaps and market developments. Preferred Experience Demonstrated experience managing strategic technology alliances within AI, cloud, consulting or enterprise software environments. Strong background driving co-sell motions and joint go-to-market initiatives. Experience working with enterprise clients within the Consumer Packaged Goods (CPG) and/or Retail sectors. Solid understanding of cloud, AI, data and analytics technologies. Proven ability to influence senior executives and cross-functional stakeholders. Strong commercial acumen, relationship management and executive communication skills. Why Join? This is an opportunity to play a pivotal role in expanding strategic partnerships within a rapidly growing AI and data consulting business. You'll work alongside senior commercial, consulting and technology leaders, shaping strategic alliances that deliver measurable business growth while engaging with some of the world's largest enterprise organisations.