Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group is a healthcare organization that uses technology to improve health outcomes and make the health system work better. The Senior Director, Data & AI Engineering will define and execute enterprise data and AI engineering strategy, lead modern cloud data platform development, and enable governed data, analytics, machine learning, generative AI, and self-service business intelligence across the organization.
Responsibilities
- Define and execute the enterprise data and AI engineering strategy aligned with business objectives and growth priorities
- Develop a multi-year roadmap for modernizing data platforms, analytics capabilities, and AI enablement
- Establish enterprise standards for data management, governance, quality, lineage, metadata, and observability
- Lead the design, implementation, and operation of modern cloud-based data platforms
- Establish enterprise architecture patterns leveraging Databricks, Snowflake, and cloud-native services
- Lead the transformation of traditional reporting environments into AI-powered analytics ecosystems
- Drive adoption of AI for Business Intelligence, including natural language analytics, intelligent reporting, automated insights, and predictive decision support
- Enable self-service analytics capabilities that allow business users to access trusted data and insights
- Partner with analytics and business teams to deliver enterprise KPI frameworks and measurement standards
- Define and implement enterprise semantic layer architecture that delivers consistent business definitions and metrics across all reporting and analytics platforms
- Develop reusable business data models that simplify access to complex enterprise data
- Establish enterprise capabilities that enable scalable AI and machine learning development
- Build AI-ready data architectures supporting machine learning, generative AI, agentic AI, and advanced analytics
Skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related field
- 8+ years of progressive experience in data engineering, data architecture, analytics, or cloud data platforms
- 5+ years of experience building large-scale enterprise data platforms supporting analytics and AI workloads
- 5+ years of experience leading enterprise data modernization initiatives
- Deep expertise with Databricks, Snowflake, Lakehouse Architectures, Data Warehousing, Data Modeling, Semantic Layers, Cloud Data Platforms (Azure preferred), Modern ETL/ELT Frameworks, data Governance and Metadata Management
- Demonstrated success partnering with executive stakeholders and business leaders to translate data into business outcomes
- Master's degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline
- Solid understanding of business intelligence platforms, analytics engineering, and self-service analytics
- Solid communication and influencing skills with the ability to engage both technical and non-technical audiences
- Experience within PBM, healthcare, pharmacy, payer, financial services, or other highly regulated industries
- Deep understanding of healthcare and PBM data domains including claims, formulary, clinical, rebate, pricing, eligibility, and provider analytics
- Experience implementing enterprise semantic layers using modern analytics platforms
- Experience building data products and domain-oriented architectures
- Knowledge of Fabric, Power BI, dbt, Unity Catalog, Delta Lake, and modern metadata management platforms
- Experience enabling AI-powered BI and conversational analytics experiences
- Experience supporting Generative AI, RAG, and Agentic AI architectures through enterprise data services
- Solid understanding of data privacy, regulatory compliance, governance, and responsible AI frameworks
- Proven ability to lead complex enterprise transformations involving data, analytics, and AI capabilities
Benefits
- Flexibility to work remotely from anywhere within the U.S.
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
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