Bangalore, India

Our client is a leading SAP consulting and digital transformation partner committed to delivering innovative, high-impact solutions across enterprise analytics, cloud, and intelligent business platforms. As enterprises modernize their data landscapes, the role of traditional data warehousing is rapidly evolving into scalable cloud-native Data Lakehouse architectures. Client is expanding its modern data engineering capabilities to help customers integrate enterprise data from SAP and non-SAP ecosystems, build advanced analytics platforms, and enable future-ready AI-driven solutions. We are looking for an accomplished Databricks Lakehouse Architect / Cloud Data Engineering Leader who can play a key role in this transformation journey — designing modern data platforms, leading cloud data engineering initiatives, and bridging enterprise analytics with next-generation technologies. The ideal candidate will combine strong hands-on expertise in Databricks, Spark/PySpark, Delta Lake, and Azure/AWS cloud platforms with the ability to engage customers, architect solutions, guide engineering teams, and drive successful delivery. Role Overview:We are looking for a hands-on Data Engineering leader who can architect modern cloud data platforms using Databricks Lakehouse and lead solution design, delivery, and engineering teams. This role requires strong technical ownership rather than a pure people management background. Key Responsibilities:• Architect scalable Data Lakehouse platforms• Own solution design, estimation, architecture reviews and client discussions• Build and optimize enterprise data pipelines• Provide technical guidance to data engineering teams• Establish best practices around performance, governance and architecture Must Have - Databricks Architecture:• Databricks Lakehouse design• Delta Lake implementation• Apache Spark / PySpark engineering• Medallion architecture (Bronze/Silver/Gold layers)• Data pipeline optimization• Unity Catalog and data governance exposure Cloud Platform Expertise (depth in one required):Microsoft Azure:• Azure Databricks• Azure Data Factory (ADF)• Azure Data Lake Storage (ADLS)• Azure Synapse AnalyticsORAmazon AWS:• Databricks on AWS• Amazon S3• AWS Glue• Redshift• Athena Good to Have:• Snowflake• ML Engineering exposure• Cloud/Data Engineering certifications Ideal Candidate:A hands-on architect who can talk to customers, design solutions, estimate projects, guide engineers and review architecture while helping build a modern Data Engineering practice.

Job Summary The Associate Director – SAP BW/HANA plays a critical role in leading and managing SAP BW/4HANA initiatives within the organization. This position combines strategic planning, project execution, and team leadership to drive data analysis, reporting, and business insights. The ideal candidate will leverage their extensive experience and technical expertise to optimize data solutions that enhance decision-making processes across the company. Key Responsibilities Lead the design, development, and implementation of SAP BW/4HANA solutions to meet business requirements. Collaborate with cross-functional teams to ensure seamless data integration and reporting across platforms. Oversee ABAP development and SQL scripting to enhance data processing and analytics capabilities. Drive the utilization of SAP Analytics Cloud, Power BI, and Tableau for visualization and reporting purposes. Manage cloud deployments and data integration processes within HANA Cloud and Snowflake environments. Mentor junior team members and provide guidance on best practices and technologies. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 12 to 15 years of extensive experience in SAP BW/4HANA and data analytics. Strong proficiency in ABAP Development, SQL Scripting, and data integration techniques. Demonstrated experience with HANA Cloud solutions and SAP certification in BW/4HANA. Preferred Qualifications Experience with data visualization tools such as Power BI and Tableau. Familiarity with Snowflake and its integration with SAP platforms. Strong analytical and problem-solving skills, with a focus on data-driven decision-making. Excellent communication and leadership skills, with the ability to collaborate effectively across teams.

Key Responsibilities Growth & Presales Leadership Own and drive analytics-led deal shaping for CPG clients in partnership with Field Sales Lead discovery discussions to identify high-value use cases across pricing, promotions, and supply chain Build compelling, ROI-driven solution narratives to win large enterprise deals CPG Domain & Thought Leadership Act as a trusted advisor in areas such as: Revenue Growth Management (pricing, promotions, mix optimization) Trade Promotion Optimization (TPO) Demand Forecasting & Supply Chain Analytics Consumer & Shopper Insights Create POVs, accelerators, and reusable frameworks to strengthen market positioning AI & Solution Architecture Design scalable AI/ML solutions aligned to business objectives Translate business problems into analytical approaches (forecasting, optimization, causal modelling) Collaborate with Data Science and Data Engineering teams to industrialize solutions Client Engagement & Strategic Advisory Engage with senior stakeholders (VP/CXO level) to align analytics initiatives with business strategy Guide clients on analytics maturity, data strategy, and operating models Ensure seamless transition from presales to execution Technical Qualifications Experience & Domain Expertise 10–12+ years in CPG analytics, consulting, or data science roles Strong experience in RGM, Trade Promotions, Supply Chain, or Commercial Analytics Demonstrated success in presales, solutioning, or analytics-driven client acquisition Commercial Acumen Strong understanding of pricing strategy, trade spend optimization, and demand planning Ability to connect analytics outputs to measurable business KPIs (revenue, margin, ROI) Stakeholder & Sales Alignment Proven ability to work closely with Sales teams in enterprise deal cycles Strong communication skills with ability to influence both technical and business stakeholders Experience engaging CXO-level clients and driving strategic conversations

About the Job We are hiring a Data Science Director for a high-impact role that sits at the intersection of Data Science, AI/ML, Client Advisory, and Delivery Leadership. This is for someone who has spent 12–15 years building analytics solutions, leading teams, and helping clients solve complex business problems through data science. Role and Responsibilities You will be expected to: Lead data science teams and drive delivery excellence Work closely with senior client stakeholders Shape AI/ML and analytics solutions around real business problems Bring structure, depth, and commercial thinking to analytics engagements Play a visible role in solutioning, execution, and account growth Technical Skills : Hands-on experience in the Data Analytics field, preferably in Data Engineering, Data Science, or strategic business analytics. Overall 12+ years of experience, with a progression from technical roles to consulting and delivery management positions. Lead business and technical client presentations with support from Subject Matter Expert (SMEs) and Centres of Excellence (CoEs). Build and maintain strong relationships with senior stakeholders (Director/VP level) from the client side. Quality of Deliverables, Timeliness, Technical Rigor, and Business Grasp. Qualifications: Minimum 4 years Bachelor's degree/B.E or Master’s Degree in Science preferred Proven track record of successfully delivering multiple medium-scale and complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience in consulting and delivery management, with the ability to lead and inspire high-performing teams. Exceptional leadership and stakeholder management skills. You will be a strong fit if you come from a pure-play analytics services, consulting, or analytics delivery environment. Candidates from leading analytics services firms will be especially relevant.

Role A senior leadership role responsible for driving end-to-end delivery of complex analytics, data engineering and transformation programs, managing strategic accounts, and enabling business growth through consultative engagement and execution excellence. Responsibilities Delivery Management Oversee planning and execution of complex programs ensuring timelines, quality, and cost efficiency Manage delivery budgets, forecasting, and resource optimization Lead and mentor large, distributed teams across multiple delivery models Ensure alignment across stakeholders and drive execution excellence Promote a culture of innovation and continuous improvement Business Development Lead pre-sales and consultative sales initiatives Develop tailored solutions aligned to client business needs Drive RFP responses, presentations, and bid management Negotiate contracts and service agreements Represent delivery capabilities in client-facing engagements Account Management Ensure SLA adherence and high levels of client satisfaction Own account P&L and drive operational efficiency Expand accounts through long-term partnerships and growth initiatives Optimize resource utilization across engagements Strengthen client relationships and support retention strategies Required Skills a. Technical & Functional Strong expertise in data analytics, data engineering, data science, and digital transformation Experience in managing large-scale, complex delivery programs Understanding of system integration and enterprise technology landscapes b. Consulting & Leadership Proven experience in consulting, pre-sales, and delivery leadership Strong stakeholder management and executive communication skills Ability to manage large teams (100+ resources) across geographies Experience driving account growth and managing P&L c. Behavioural Strategic thinker with a solution-oriented mindset Strong communication and influencing skills Collaborative leadership style with adaptability High ownership, accountability, and results orientation Experience & Education Extensive experience in analytics, digital delivery, or technology consulting leadership roles Proven track record of leading cross-functional teams in matrixed environments Experience managing large accounts and driving business growth Bachelor’s degree (minimum 4 years) or equivalent qualification

You will act as an embedded monetisation leader for high-growth platforms, owning end-to-end revenue strategy across adtech, performance, and commerce ecosystems. Key Responsibilities: Define and execute monetisation & GTM strategy Drive advertiser revenue, pricing, and yield optimisation Work with product, sales, and data teams to scale revenue Build monetisation frameworks across markets Must-have attributes: Proven ownership of revenue (₹50Cr+ impact preferred) Strong adtech + performance marketing understanding Ability to operate as a business owner, not just operator Experience in platforms, adtech firms, or digital-first companies ???? Must be able to function as an extended monetisation arm of the client

You will lead ad sales and partnerships, acting as the primary revenue driver across advertisers, agencies, and brand ecosystems. Key Responsibilities: Build and own advertiser pipeline (brands + agencies) Close large deals across performance and programmatic channels Manage relationships with GroupM, Dentsu, Publicis, etc. Identify new revenue streams and categories Must-have attributes: Strong agency and advertiser network Demonstrated deal closures (₹10Cr+ annual billing) Deep understanding of performance + digital commerce ecosystem Ability to operate in high-growth, ambiguous environments ???? Must act as a revenue extension of the client’s business

You will own ad operations and yield optimisation, ensuring maximum revenue extraction from platform inventory. Key Responsibilities: Manage programmatic stack (DSPs, SSPs, exchanges) Improve fill rates, CPMs, and overall yield Work with data teams to optimise monetisation performance Implement scalable ad operations frameworks Must-have attributes: Strong expertise in programmatic ecosystem Hands-on experience with yield optimisation and inventory monetisation Data-driven mindset with ability to link ops → revenue Experience in adtech platforms / publishers ???? Must operate as a technical monetisation backbone for clients

Antal International is hiring for a senior Data Science leadership opportunity with a leading digital commerce and technology organization. We are seeking an experienced Data Science leader who can drive advanced analytics initiatives, build scalable AI-enabled solutions, optimize marketing performance, and lead high-performing analytics teams to deliver measurable business impact. Key Responsibilities: • Lead, mentor, and develop a team of Data Scientists while fostering a culture of innovation and continuous learning• Define and execute Data Science strategy aligned with business objectives and growth priorities• Lead end-to-end analytics projects from problem definition through deployment and business recommendations• Build and oversee machine learning solutions for customer behaviour prediction, marketing performance optimization, and business decision support• Drive experimentation frameworks including A/B testing, uplift modelling, causal analysis, and measurement methodologies• Optimize marketing initiatives through campaign analytics, budget allocation strategies, customer segmentation, and growth opportunity identification• Translate business challenges into scalable AI and Analytics products while partnering with engineering and technical teams• Establish best practices across statistical modelling, experimentation design, reporting automation, and analytics governance• Build dashboards, self-service analytics capabilities, reporting frameworks, and automation initiatives• Communicate analytical insights effectively to technical and business stakeholders while managing multiple strategic projects simultaneously Required Experience & Skills: • 7+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related quantitative domains• 3+ years of experience leading or managing Data Science or Analytics teams• Strong expertise in statistical analysis, predictive modelling, machine learning algorithms, and experimentation methodologies• Hands-on experience with Python, R, SQL, and large-scale analytical environments• Experience in performance marketing analytics, customer analytics, campaign optimization, or digital measurement environments preferred• Strong understanding of A/B testing, uplift modelling, marketing attribution, segmentation, and performance measurement frameworks• Exposure to visualization platforms such as Tableau, Power BI, or equivalent tools• Familiarity with big data ecosystems, cloud platforms, and modern AI technologies including LLM environments is desirable• Strong stakeholder management, communication, presentation, and project management capabilities• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, Economics, Business Analytics, or related quantitative disciplines. Master’s or PhD preferred Location: BengaluruExperience: 7+ YearsRole Level: Senior Manager – Data Science

What You'll Do ✔ Build advanced statistical and econometric models to drive pricing and promotion strategies ✔ Develop and deploy Hierarchical Bayesian Models for commercial decision-making ✔ Analyze large-scale Retail POS and syndicated data to generate actionable business insights ✔ Design solutions around: Price Elasticity Promotion Effectiveness Revenue Growth Management (RGM) Price-Pack Architecture (PPA) Assortment & Portfolio Optimization ✔ Present complex analytical findings to senior business stakeholders in a simple, impactful manner ✔ Collaborate with commercial, marketing, sales, and category management teams across global markets What We're Looking For ✅ Master's degree in Statistics, Econometrics, Mathematics, Data Science, Economics, Operations Research, or a related quantitative discipline ✅ 8+ years of experience in advanced analytics, preferably within CPG/FMCG environments ✅ Strong expertise in: Econometric Modeling Statistical Modeling Hierarchical Bayesian Modeling Pricing & Promotion Analytics Revenue Growth Management ✅ Proven experience building models using Retail POS / Scanner Data ✅ Ability to communicate technical concepts effectively to non-technical audiences ✅ Strong consulting and stakeholder management skills Why Consider This Opportunity? ???? Work on high-impact commercial analytics problems for global CPG brands ???? Influence strategic pricing and growth decisions worth millions of dollars ???? Collaborate with stakeholders across Europe and North America ???? Join a high-caliber analytics team solving cutting-edge business problems