Director AI/ML Engineering

Taleo; Chennai District; Vor Ort; INR 9.000.000 - 15.000.000; Vollzeit

Zusammenfassung

UnitedHealth Group is seeking a Director of AI/ML Engineering to define and lead the enterprise data and AI platform strategy. You will guide teams across data engineering, analytics, governance, and AI to deliver scalable, secure solutions that improve health outcomes.

The role emphasizes executive collaboration, data-as-a-product thinking, and responsible AI principles within a global organization.

Qualifikationen

• Extensive leadership in Data Engineering/AI platforms or Enterprise Data Architecture.
• Experience managing large-scale engineering organizations, budgets, and cloud cost optimization.
• Solid expertise in cloud-based data ecosystems and modern data platform architectures.

Aufgaben

• Define and lead the enterprise Data & AI Platform Strategy for Analytics, ML, GenAI, and Agentic AI.
• Build AI-ready data foundations with semantic layers, metadata management, and governance frameworks.
• Lead data engineering teams for ingestion, transformation, storage, pipelines, and real-time data solutions.
• Drive modernization of legacy systems into cloud-native architectures and data governance.

Kenntnisse

Data Engineering

Data Platforms

AI/ML Platforms

Enterprise Data Architecture

Executive communication

Tools

Cloud

Data governance

Jobbeschreibung

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Director AI/ML Engineering (2392368)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Define and lead the enterprise Data & AI Platform Strategy, ensuring scalable, secure, resilient, and cost-efficient platforms for Analytics, ML, GenAI, and Agentic AI
• Build AI-ready data foundations using semantic layers, metadata management, data lineage, knowledge graphs, and governance frameworks
• Lead data engineering teams responsible for ingestion, transformation, storage, pipelines, APIs, data products, and real-time data solutions
• Establish engineering standards, reusable frameworks, and drive modernization of legacy systems into cloud-native architectures
• Partner with Data Science and AI teams to operationalize ML, GenAI, and Agentic AI solutions
• Enable capabilities such as feature stores, vector databases, embeddings, RAG, model deployment, monitoring, observability, explainability, and Responsible AI
• Drive enterprise-wide data governance, including data quality, stewardship, cataloging, lineage, master data management, privacy, and compliance
• Govern both AI training datasets and AI-generated outputs
• Promote a Data-as-a-Product operating model with defined ownership, SLAs, and quality standards
• Prioritize platform and data initiatives based on business value, AI readiness, and measurable outcomes
• Evaluate and implement emerging technologies including GenAI, Agentic AI, Data Fabric, Semantic Layers, Knowledge Graphs, and Intelligent Automation
• Lead proofs of concept and scale successful innovations across the enterprise
• Partner with business, product, analytics, and technology leaders to align platform investments with strategic objectives
• Present technology strategy and roadmap recommendations to executive leadership
• Manage budgets, vendors, cloud spend, operational performance, and platform reliability
• Establish KPIs for performance, availability, productivity, automation, and cost optimization
• Build, mentor, and develop high-performing Data & AI engineering teams
• Foster innovation, accountability, continuous learning, talent development, and career growth
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Extensive leadership experience in Data Engineering, Data Platforms, AI/ML Platforms, or Enterprise Data Architecture
• Experience implementing Data-as-a-Product frameworks and enterprise data strategies
• Experience managing large-scale engineering organizations, budgets, vendors, and cloud cost optimization initiatives
• Solid expertise in cloud-based data ecosystems and modern data platform architectures
• Deep knowledge of data engineering concepts including data pipelines, APIs, data products, streaming, and real-time processing
• Hands‑on understanding of AI/ML operationalization, including:
  • MLOps
  • GenAI
  • Agentic AI
  • Vector Databases
  • RAG (Retrieval-Augmented Generation)
  • Embeddings
  • Model Deployment & Monitoring
  • Responsible AI
• Solid understanding of enterprise data governance, data quality, lineage, metadata management, cataloging, MDM, privacy, and regulatory compliance
• Knowledge of emerging technologies such as:
  • GenAI
  • Agentic AI
  • Data Fabric
  • Knowledge Graphs
  • Semantic Layers
  • Intelligent Automation
• Solid stakeholder management and executive communication skills
• Proven ability to build and lead high-performing teams across data engineering, analytics, governance, and AI domains
• Demonstrated success in driving platform modernization, digital transformation, and enterprise-scale technology adoption

Success Metrics

• Data quality and reliability
• AI adoption and business impact
• Platform availability and performance
• Engineering productivity and automation
• Regulatory compliance
• Team engagement and retention

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.