Senior Manager - Data & AI Solution Management

CH01 CHE Fresenius Medical Care (Schweiz) AG; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

CH01 CHE Fresenius Medical Care (Schweiz) AG is seeking a Sr. Manager for Data & AI Solution Management in Bengaluru. You will lead a high-performing COE delivering data, analytics, AI/ML, and GenAI solutions across AWS and Azure, guiding governance, security, and scalable cloud architectures.

You will manage senior professionals, drive agile delivery, and partner with business leaders to translate priorities into production-ready platforms and value realization.

Qualifications

• Proven leadership of multidisciplinary data/AI teams across analytics, engineering and governance.
• Experience designing end-to-end data and AI platforms in cloud environments.
• Strong governance, security, and regulatory compliance awareness.

Responsibilities

• Define and drive enterprise Data & AI strategy aligned with business goals.
• Lead end-to-end delivery of data, analytics, ML, and GenAI solutions.
• Oversee multi-cloud platforms (AWS/Azure) and modern data architectures.
• Mentor teams, enable agile delivery, and manage stakeholder expectations.

Skills

Leadership

Cross-functional teams

Analytics

AI/ML

Data governance

Stakeholder management

Communication

Agile methodology

Education

Bachelor’s degree in CS/Engineering/Data Science

Master’s degree preferred

Tools

Databricks

Snowflake

AWS

Azure

SageMaker

Bedrock

CI/CD

Job description

## Senior Manager - Data & AI Solution ManagementApplyremote type: Hybridlocations: Bengaluru, KAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R0258868**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-efficient + 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.