**Sr. Manager - Data & AI Solution Management** **Role Overview** The **Sr. Manager - Data & AI Solution Management** is a people leadership and execution role responsible for building, leading, and scaling a high-performing multidisciplinary data and AI COE in Global Business Services. This role oversees end-to-end service delivery and maintenance of enterprise data, analytics, AI/ML, and Generative AI solutions, ensuring alignment with business priorities, governance standards, and modern cloud architectures. The position manages a team of **senior professionals across analytics, engineering, AI, governance, and service management** , driving service delivery while ensuring operational excellence, scalability, and responsible AI practices across AWS and Azure ecosystems. **Key Responsibilities** **1. Strategic Leadership & Delivery** + Define and execute the enterprise **Data & AI strategy** , aligned with business goals and digital transformation initiatives. + Lead the design and delivery of **end-to-end data, analytics, ML, and GenAI solutions** , ensuring business value realization. + Establish scalable frameworks for **AI/ML, data platforms, analytics, and governance** across the organization. + Drive adoption of **modern data architecture patterns** including cloud-native, multi-cloud, and hybrid ecosystems. **2. Team Leadership & Talent Development** + Lead, mentor, and develop a team of a medium group senior professionals across data, AI, engineering, and analytics domains. + Build a high-performance culture focused on **innovation, accountability, and continuous improvement** . + Define career paths, skill development, and succession planning for all roles. + Foster cross-functional collaboration between business, engineering, and analytics teams. **3. Data & AI Solution Delivery Oversight** + Oversee delivery of solutions: + **Data engineering pipelines and platforms** (Databricks, Snowflake, AWS, Azure)



+ **Data modeling and architecture frameworks** + **Advanced analytics and BI solutions** + **Machine Learning and Generative AI solutions (LLMs, RAG, copilots)** + Ensure integration of solutions into enterprise systems and workflows. + Drive **Agile delivery models** and ensure timely, high-quality releases. **4. AI, ML & GenAI Enablement** + Establish scalable practices for: + Machine Learning lifecycle (MLOps) + Generative AI solution design (prompt engineering, RAG architectures) + AI evaluation, monitoring, and optimization + Ensure AI initiatives are: + Business-driven + Measurable + Production-ready + Partner with teams to embed AI capabilities into enterprise applications. **5. Data Governance, Quality & Compliance** + Ensure robust implementation of: + Data governance frameworks (metadata, lineage, cataloging) + Data quality and monitoring standards + Security, privacy, and regulatory compliance controls + Promote **trusted, governed, and high-quality data assets** across the organization. + Enable **responsible AI practices** including explainability, fairness, and compliance. **6. Stakeholder Engagement & Business Alignment** + Act as a **trusted advisor** to business and technology leaders. + Translate complex business needs into scalable data and AI solutions. + Drive adoption and value realization of delivered solutions. + Lead executive reporting on program progress, outcomes, and KPIs. **7. Platform, Architecture & Technology Oversight** + Govern enterprise data and AI platforms including: + Databricks, Snowflake + AWS and Azure data services + SageMaker, Amazon Bedrock,



Azure OpenAI + Ensure solutions are: + Scalable, secure, and cost-productive + Designed for performance and reliability + Drive standardization, automation, and DevOps/CI-CD practices. **8. Service Management & Operational Excellence** + Partner with the **DAIS Sr. Service Manager** to ensure: + Stable operations of data and AI platforms + SLA adherence and incident management + Continuous improvement and monitoring frameworks + Implement metrics-driven service management practices. **Required Skills & Experience** **Leadership & Functional Expertise** + 12-15+ years of experience in **data, analytics, AI/ML, or engineering roles** , with at least 5+ years in leadership positions. + Proven experience managing **cross-functional teams across data, analytics, and AI domains** . + Strong understanding of: + Data engineering, modeling, and analytics + Machine learning and MLOps + Generative AI (LLMs, RAG, copilots) + Data governance and compliance frameworks **Technical Expertise** + Hands-on knowledge of: + Cloud platforms: **AWS and/or Azure** + Data platforms: **Databricks, Snowflake** + AI/ML platforms: **SageMaker, Azure ML, Bedrock** + Familiarity with: + Data pipelines, ETL/ELT, and streaming architectures + Data modeling techniques (dimensional, relational, etc.) + AI/ML lifecycle, model evaluation, and deployment + Governance tools, metadata, and lineage frameworks **Business & Stakeholder Skills** + Strong ability to **translate business problems into technical solutions** . + Excellent communication and executive presentation skills. + Proven ability to influence senior stakeholders and drive transformation. + Experience working in **Agile and product-driven environments** . **Education** + Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field. + Master's degree (MBA, Data Science, Analytics, or similar) preferred.

📌 Senior Manager - Data & AI Solution Management (Bengaluru)
🏢 Fresenius Medical Care
📍 Bengaluru