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This role requires a hands-on HR leader capable of managing end-to-end HR responsibilities while partnering closely with leadership to institutionalize best practices aligned with a rapidly scaling MedTech organization. The position will play a key role in transitioning HR from an operational function into a structured, process-driven organizational enabler.

JD Sales Manager - Coatings 1. Proactive and Self driven/ Motivated sales professional 2. Delivers budgeted sales volumes & revenues and exceeds expectations 3. Primarily responsible for managing, identifying, developing existing /new business opportunities in Key customers. 4. Develop a relationship with primary accounts, key stakeholders and critical decision makers in Sourcing, technical team and Senior Management at customer end 5. To handle all assigned customers 6. Maintain a deep understanding of customers’ operations, determine opportunities and ensure the timely and successful delivery of solutions to the customer 7. Participation in Strategy making discussions, Product positioning, Pricings strategies for assigned customers/ territory 8. Efficiently handle any Customer complaints, trouble-shooting as & when required 9. Prepare well on time, Sales Forecast, Visit Plans, CRM updates, Daily activity reports 10. Conduct/ Organize technical presentations, seminars in coordination with HQ team 11. To work continuously on gathering Market information, Trends, Competition activities and discuss internally with Team 12. Handles a minimum of 80 customers Skills sets required: · Candidate must be a highly motivated experienced sales professional with an outstanding proven record of success in the selling environment. · Confident negotiator and ability to close the right type of business at the highest levels · A proven track record in delivering against personal sales revenue objectives · An ability to represent the company at the highest level to customers. · Ability to use own initiative and pay close attention to detail · Ability to cope with competing demands and to prioritize tasks · Strong communication skills in all forms including written, oral, email, telephone, and presentation · Excellent organizational and time management skills · Commercial Acumen · Self –driven

Locație: IasiDomeniu: Construcții civile | Structuri din beton armat Recrutăm, în numele clientului nostru, o companie de top specializată în execuția structurilor pentru clădiri rezidențiale, comerciale și industriale, un Inginer CCIA – Execuție pentru un proiect major aflat în derulare în Iasi. Compania are peste 100 de șantiere finalizate în România în 7 ani de activitate și peste 500 de angajați în țară și în străinătate, cu experiență în proiecte complexe și volume importante de execuție. Despre rol Rolul este potrivit pentru un inginer constructor cu 3–5 ani de experiență practică în execuție, dobândită pe proiecte rezidențiale sau comerciale de anvergură. Inginerul va fi implicat direct în execuția fundațiilor și structurilor din beton armat – infrastructură și suprastructură, lucrând în cadrul echipei de proiect și raportând către managementul proiectului. Responsabilități principale Urmărirea zilnică a lucrărilor de cofrare, armare și betonare pe sectorul alocat. Organizarea și coordonarea activității echipelor de execuție și a subcontractorilor din zona de responsabilitate. Verificarea cofrajelor, armăturilor și elementelor de susținere conform planurilor de execuție. Implicarea în organizarea turnărilor de beton, inclusiv a turnărilor de volum mare. Urmărirea necesarului de materiale, utilaje și resurse pentru desfășurarea lucrărilor conform planificării. Monitorizarea progresului lucrărilor și respectarea termenelor stabilite pentru fazele de execuție. Verificarea calității lucrărilor și a materialelor utilizate. Colaborarea cu Managerul de Proiect, proiectantul, dirigintele de șantier și celelalte echipe implicate în proiect. Urmărirea respectării cerințelor de calitate și SSM în activitatea din teren. Profilul căutat Absolvent de Construcții Civile, Industriale și Agricole – CCIA. 3–5 ani de experiență în execuție, cu activitate efectivă în șantier. Experiență dobândită pe proiecte comerciale sau rezidențiale de dimensiuni mari. Experiența în fundații, infrastructură/suprastructură și structuri din beton armat este foarte relevantă pentru rol. Bună înțelegere a etapelor de cofrare, armare și betonare. Capacitate foarte bună de citire și interpretare a planurilor de structură și armare. Experiență în lucrul direct cu echipe de execuție și subcontractori. Cunoștințe AutoCAD; MS Project / Primavera reprezintă un avantaj. Capacitate de organizare și prioritizare într-un șantier cu ritm ridicat și mai multe activități desfășurate simultan. Pachet & oportunitate Salariu de referință: 8.000 – 10.000 RON net/lună, cu flexibilitate peste acest nivel în funcție de experiența și competențele candidatului. Mașină de serviciu. Implicare într-un proiect de mari dimensiuni, cu lucrări complexe de fundații și structură. Expunere la volume și metode de execuție relevante pentru dezvoltarea unui inginer care dorește să își consolideze experiența pe proiecte comerciale și rezidențiale de anvergură. Posibilitatea de dezvoltare ulterioară către responsabilități mai ample de coordonare a execuției.

About the Role We are looking for an experienced finance professional to lead and manage end-to-end Accounts Payable (AP) operations within our IT captive shared service center (GBS). In this role, you will ensure seamless invoice processing, strict compliance, process automation, and high-performing stakeholder and vendor relationships. Key Responsibilities End-to-End AP Operations: Own invoice processing, vendor payments, statement reconciliations, and month-end/quarter-end closing activities. Compliance & Governance: Ensure complete adherence to company financial policies, internal controls, and statutory/tax regulations. Process Automation & Improvement: Drive standardization, robotic process automation (RPA), and continuous workflow enhancements to scale operations. Performance & SLA Monitoring: Track, analyze, and report on key performance indicators (KPIs) and service-level agreements (SLAs), including DPO (Days Payable Outstanding) and processing error rates. Vendor & Stakeholder Management: Handle complex vendor escalations, resolve payment discrepancies, and build strong partnerships with internal procurement, treasury, and business teams. Team Leadership: Lead, mentor, coach, and develop a high-performing team of AP specialists and coordinators. Audit Support: Act as the primary point of contact for internal and external audits, ensuring prompt resolution of audit observations. Qualifications & Experience Education: CA / CMA / MBA (Finance) or a Graduate/Postgraduate degree in Commerce. Experience: 8 to 12 years of hands-on experience in Accounts Payable, ideally within an IT captive shared service center (GBS/GCC). Technical Skills: Deep domain knowledge of Procure-to-Pay (P2P) and AP lifecycles. Hands-on proficiency with major ERP systems (e.g., SAP, Oracle). Strong grasp of internal controls, SOX compliance, and reconciliations. Soft Skills: Proven people management, cross-functional stakeholder handling, analytical thinking, and conflict-resolution abilities.

Program Management Specialist Lead strategic programs, drive cross-functional execution, and deliver measurable business outcomes. We are looking for an experienced Program Management Specialist to oversee complex, multi-project initiatives, establish governance frameworks, manage stakeholder engagement, and ensure successful delivery against organizational goals. Key Responsibilities Define and manage program governance, planning, and execution frameworks Coordinate multiple projects and dependencies across teams Partner with senior stakeholders to align programs with business objectives Proactively identify and mitigate program risks and issues Deliver executive reporting, KPIs, and program performance insights You'll Work With Executive leaders, Program Managers, Project Managers, PMO teams, and Delivery Leads to drive successful program outcomes and business value realization. Ideal Candidate Profile 6-9 years of Program or Project Management experience Proven success managing complex multi-project programs Strong leadership, stakeholder management, and problem-solving skills Experience with Agile, Waterfall, or hybrid delivery methodologies Bachelor's degree required; Master's degree preferred PMP, PRINCE2, CSM, or equivalent certification preferred Core Skills Program Management • PMO Governance • Portfolio Management • Risk Management • Stakeholder Management • Executive Reporting • Strategic Planning • Agile Delivery • Resource Planning • Change Management Success Metrics Program Delivery • Benefits Realization • Stakeholder Satisfaction • Governance Compliance • Risk Reduction • On-Time Execution Build alignment. Mitigate risk. Deliver impactful programs at scale.

Role Overview Our client, a growing technology-driven organization, is looking for an experienced AI Architect to lead the design and implementation of enterprise AI solutions, including Generative AI, Large Language Models (LLMs), AI agents and intelligent automation. The role involves defining AI architecture, selecting appropriate technologies, integrating AI capabilities into enterprise applications and ensuring solutions are scalable, secure and commercially viable. The successful candidate will work closely with business stakeholders, data science teams, software engineers and cloud architects to translate business requirements into practical AI solutions. The ideal candidate will bring strong experience in enterprise architecture, machine learning, cloud-based AI platforms and emerging AI technologies, with the ability to drive AI adoption and innovation across business functions. Key Roles & Responsibilities Define enterprise AI architecture, technology strategy and implementation roadmaps. Design scalable AI and Generative AI solutions for complex business requirements. Architect LLM-based applications, Retrieval-Augmented Generation (RAG) and AI agent solutions. Evaluate AI models, frameworks, vector databases and orchestration technologies. Integrate AI capabilities with enterprise applications, APIs and data platforms. Design secure and scalable AI solutions across AWS, Azure or Google Cloud. Establish AI governance, responsible AI, data privacy and security standards. Optimise model performance, latency, accuracy and infrastructure costs. Collaborate with data scientists, software engineers, product owners and business teams. Lead AI proof of concepts, solution evaluations and production deployments. Define reusable AI components, reference architectures and engineering standards. Mentor technical teams and guide the adoption of emerging AI technologies. Preferred Qualifications Bachelor's or master's degree in Computer Science, AI, Data Science or a related field. 10–15+ years of overall technology experience, including relevant AI architecture experience. Strong experience designing and deploying enterprise AI or machine learning solutions. Hands-on exposure to Generative AI, LLMs and production AI applications. Experience with cloud-based AI platforms and enterprise integration patterns. Key Skills & Attributes Enterprise AI architecture and solution design. Generative AI, LLMs, RAG and AI agents. Machine learning and model deployment. API integration and distributed systems. AI security, governance and responsible AI. Stakeholder management and technical leadership. Strong analytical and problem-solving capabilities. Technical Skills Python and AI/ML frameworks. LangChain, LlamaIndex or equivalent frameworks. OpenAI models, Azure AI, AWS AI services or Google Cloud AI. Vector databases and embedding technologies. REST APIs, microservices and event-driven architecture. Docker, Kubernetes and CI/CD. MLflow, model monitoring and MLOps tools. Reporting / Team Relationships Works closely with: CTO / Head of Engineering Enterprise Architecture Team Data Science and AI Engineering Teams Cloud and Infrastructure Teams Product Management Team Information Security Team What the Role Offers This is a strategic leadership opportunity for an AI professional who wants to shape the future of enterprise AI, Generative AI and intelligent automation. The successful candidate will play an important role in developing scalable AI architectures, integrating intelligent solutions into business operations and driving innovation across enterprise technology platforms. The role offers an opportunity to influence AI strategy, lead architectural initiatives and contribute to the growth of a technology-driven organisation.

Assistant Manager – HR Business Partner Reporting To: Associate Director – HR Business Partner Job Summary add The team partners with business stakeholders across seven strategic regional markets to attract, develop, engage, and retain top talent. Working closely with HR Centres of Excellence, the team drives people initiatives, implements HR best practices, and supports business growth through collaboration and continuous development. Key Responsibilities Business Strategy & Talent Solutions Support talent initiatives across organisational transformation, employee engagement, recognition, performance management, learning and development, and retention. Collaborate with HR teams, including Talent Acquisition, Compensation and Benefits, Diversity, Equity and Inclusion, Employee Relations, HR Operations, and Organisation and Talent Solutions, to deliver effective people solutions. Support organisation-wide initiatives, events, and employee engagement programmes. Leverage HR metrics, workforce insights, and business data to inform decisions and recommend solutions. Navigate cross-functional relationships within a complex, matrixed organisation. Leadership & Employee Experience Build trusted, long-term relationships with employees, managers, and business leaders. Partner with leaders to strengthen talent retention, employee morale, productivity, and organisational effectiveness. Understand business priorities and leadership development needs to support leadership growth. Foster an open, inclusive, and collaborative workplace aligned with organisational values. Desired Profile Strong communication, interpersonal, and stakeholder management skills. Ability to understand business needs and translate them into practical HR solutions. Analytical mindset with the ability to interpret HR metrics and workforce insights. Collaborative, proactive approach to employee engagement and talent management. Ability to work effectively across teams and influence stakeholders.

Why this role exists Every AI use case in the CoE portfolio depends on data: from sales and customer systems, from support and engineering knowledge sources, and from delivery and operational systems. Before an agent can use it, that data has to be joined, current, governed and checked against what each user is allowed to see. This role makes data a shared, reusable capability of the AI CoE rather than something rebuilt for each use case. It owns the data layer at feasibility and development) stages and keeps the data running after go-live. Role overview The AI CoE Senior Data Engineer & Architect owns the data layer of the AI lifecycle. You will assess data feasibility for each new use case, build and run the pipelines that feed the AI platform, model the semantic layer that agents query instead of raw tables, and make sure every agent sees only the data its user is allowed to see. This is a hands-on engineering role with production ownership, measured on agents getting correct, current and permitted data, and on each new use case reaching data-ready faster than the last. Where this role sits Reports to Head of the AI Centre of Excellence Works with Senior AI Engineer daily; AI Architect on reference architecture; AI Engagement Specialist on data feasibility; AI Ops Lead on pipeline health and cost; system integrators; data owners in each function; Security and GRC Owns Data feasibility assessments, AI data pipelines and connectors, semantic models and metrics for AI use, retrieval-ready knowledge sources, data access patterns for agents, and data freshness and quality targets Accountable for Correct, current, governed data for every agent in production, measured on freshness, quality, reuse of semantic models and time from PRD approval to data-ready Location India What you will own Data feasibility and readiness • Assess the data behind every PRD before build is approved: sources, owners, volumes, quality, access paths and gaps, written up as a data readiness view the stage gate can act on, with what is missing, stale or not permitted and options to fix it. Pipelines and integration • Build and run the pipelines that feed the AI platform (on AWS today) and the warehouses agents query, such as BigQuery or Redshift, with incremental and, where it matters, event-driven sync. • Close freshness gaps: know how long a new record or document takes to reach an agent, set a target with the business, and meet it. Handle deletions and permission changes, not just new records. • Build and maintain connectors with the system integrators, so each new source is added once and reused across use cases. Semantic layer • Model the business entities and metrics agents need in the semantic layer, so agents query governed definitions agreed with data owners, consistent with what dashboards report, instead of writing SQL against raw tables. • Put guardrails on structured queries: read-only access, row limits, timeouts and cost limits for any agent that queries data. Retrieval-ready knowledge • Prepare unstructured sources for retrieval with the Senior AI Engineer: metadata, release and version tags, access tags, and structure that keeps the source context intact; build and maintain the golden datasets used to test retrieval and answer quality. Data access, security and governance • Make agents act as the user: user-scoped access, row and column-level security in the semantic layer, and no over-privileged shared service accounts. • Handle sensitive data properly with Security and GRC: classification, masking of personal and customer data in tickets, residency rules for regulated regions, lineage and audit evidence. Run and improve (L5) • Own pipeline health in production: freshness and quality monitoring, alerts someone acts on, and fast recovery when a source system changes its schema; with AI Ops, keep processing, storage and embedding spend per use case in check. • Turn each build into reusable data products so the next use case starts from shared models and connectors, not from scratch. What we are looking for Essential • 8+ years in data engineering, including at least 3 years building data for ML, analytics or Gen AI products running in production. • Strong SQL and Python, and pipeline orchestration in practice, for example Airflow, dbt, AWS Glue or similar. • Cloud data platforms: Azure , AWS (S3, Glue, Redshift, RDS) and/or Google BigQuery. • Semantic and dimensional modelling: hands-on with a semantic or metrics layer such as Cube, dbt Semantic Layer, LookML or Power BI semantic models. • Incremental and event-driven ingestion: change data capture, webhooks or streaming, and handling deletes and late-arriving data. • Data for retrieval: document ingestion, metadata design and hybrid or vector search (for example OpenSearch, Elasticsearch or pgvector), and enough understanding of embeddings to work with an AI engineer. • Data security in practice: role-based access, row and column-level security, handling personal data, and cloud identity and access management. • API integration with enterprise SaaS, such as CRM and Atlassian REST APIs. • Data quality discipline: tests, freshness and quality monitoring, and service-level targets for data. • Clear communication with data owners and business teams: able to explain what the data can and cannot support, and why. Data depth We are looking for someone who has run pipelines in production and lived with the consequences, and can tell when an agent's wrong answer is really a data problem. Strongly preferred • Sales and customer data, support and engineering knowledge data, or ERP and manufacturing data; Progress OpenEdge familiarity is a plus. • Experience with an enterprise RAG or AI platform, and with exposing data to agents through APIs or MCP tools. • Working alongside system integrators and a central data team, and across time zones; enterprise B2B SaaS experience. What this role is not • Not a BI developer. Dashboards are owned by the functions and AI Ops; you make the data behind them and the agents trustworthy. • Not the owner of the enterprise data platform. You work with the central data team and reuse their assets, and build what AI use cases need on top. • Not an AI engineer. Agent logic, prompts and models sit with the Senior AI Engineer; you own the data they depend on. • Not a one-off integration contractor. You own the pipelines and semantic models in production, after go-live. What success looks like First 3 months • Data feasibility assessments completed for the priority use cases. • A data readiness checklist built into the stage gates and used on every new use case. • An agreed access pattern with Security for user-scoped data, and freshness measured for priority data sources. • Semantic layer version 1 live for the priority domain, used by production agents. Freshness and quality targets set and monitored for every production data source.

Qualified CMA with 12+ years of experience in API costing, product costing, and cost analysis. Experienced in COGS computation, cost variance analysis, transfer pricing, and R&D product costing. Expertise in budgeting, overhead planning, cost optimization, and financial analysis. Hands-on experience in inventory valuation, stock provisioning, and solvent and metal recovery analysis. Experienced in cost audits, CAS-4/PLI workings, RoDTEP returns, and NPPA compliance. Proficient in process automation and improvement initiatives using SAP, Anaplan, and Power BI.

Innovation starts from the heart. Heart valve disease impact millions of lives, spanning all ages and geographies. As communities globally address the opportunities and challenges of cardiovascular care, telling a compelling and authentic story is more crucial than ever. Beyond raising awareness, our Marketing teams build lasting, trusted relationships with medical professionals and industry stakeholders to ensure patients can receive the treatments they need. Dedicated to innovation, our Surgical business unit is focused on identifying and solving critical, unmet needs in cardiac surgery. In understanding the challenges of open-heart surgery, we partner with surgical teams to deliver modern technologies intended to enhance patients’ quality of life and expand their potential treatment opportunities. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. How you’ll make an impact:• Develop and execute the production of marketing and product training materials, and deliver sales force training• Collaborate with marketing team to develop marketing messages based on regional strategies, knowledge of current literature and regulatory/legal requirements for minor product and/or single market launches, campaigns, and programs or initiatives• Develop product materials and programs that support product launch and commercialization strategies using established brand guidelines and procedures• Collaborate with regional marketing and demand planning to clarify demand forecasts for manufacturing and sales operations for minor product and/or single market launches, campaigns, and programs or initiatives• Lead sections of projects for the Congress Management process• Manage the product samples/marketing collateral forecasting, storage, distribution process for minor product launches• Drive marketing collateral/labeling through all relevant legal and regulatory approval processes through collaboration with relevant cross-functional stakeholders for minor product and/or single market launches, campaigns, and programs or initiatives• Develop product and kit labels required for regional product approvals• Responsible for business intelligence activities• Other incidental duties assigned by LeadershipWhat you’ll need (Required):• Bachelor's or Master's degree with minimum of 5 -7 years of relevant marketing experience. • Proven experience in the medical device industry is required, with exposure to cardiac surgery products, therapies, or procedures strongly preferred. • Prior sales experience is an advantage.What else we look for (Preferred):• Proven expertise in MS Office Suite, Copilot• Excellent written and verbal communication skills and interpersonal relationship skills including consultative and relationship management skills• Excellent problem-solving , critical thinking, and investigative skills• Substantial understanding in tracking and interpreting market share, pricing, ASPs, competitive dynamics.• Substantial knowledge of marketing concepts and principles• Expertise and ability to coach others in one or more functional areas• Ability to forecast product lines for short-term and long-term accuracy based on market development, sales trends, competition and changing market dynamics.• Possess a fundamental clinical knowledge related to hospital environment, clinical practice and reimbursement policies• Strict attention to detail• Ability to interact professionally with all organizational levels• Ability to manage competing priorities in a fast paced environment• Work is performed independently on complex projects and/or lines of work and may be reviewed for accuracy and soundness• Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control