DT Lead - Commercial Data Engineering & Data Product

Make your mark for patients

We are looking for a DT Lead, Commercial Data Engineering & Data Product to join us in our Digital Technology team, based out of our office in Atlanta, GA (on-site, hybrid)
About the role

The DT Lead, Commercial Data Engineering & Data Products is responsible for the strategy, delivery, operation, and continuous evolution of U.S. Commercial data engineering and data products on the Next Gen platform. This leader combines deep technical expertise in Azure, Databricks, and modern data engineering with a product-oriented mindset to ensure commercial data assets are trusted, reusable, scalable, and aligned to business outcomes.

The role owns the lifecycle of commercial data products from design and delivery through adoption, operation, enhancement, and retirement. Responsibilities include establishing standards for data quality, data contracts, lineage, observability, testing, governance, and operational support. The position also defines and enables enterprise-aligned semantic models, certified business definitions, and reusable data products that support reporting, analytics, machine learning, AI, and future agent-enabled capabilities.

Who you’ll work with  The role partners closely with Commercial stakeholders, Product Owners, Data Management & Governance, Reporting, Advanced Analytics, AI Enablement, Enterprise Architecture, Security, Platform Engineering, and external delivery partners.

What you’ll do Commercial Data Products & Enterprise Semantic Models Own the lifecycle of Commercial data products from onboarding through retirement.

Define product ownership, consumer needs, data contracts, quality standards, service levels, and roadmaps.

Drive adoption of certified, reusable data products across reporting, analytics, AI, and business teams.

Data Engineering & Architecture Lead the Commercial Data Engineering team responsible for data onboarding, integration, transformation, publishing, and production support.

Define engineering standards across the Next Gen platform, including architecture, data quality, lineage, security, testing, and operational readiness.

Deliver scalable Azure and Databricks solutions using modern engineering practices, automation, and reusable frameworks.

Establish enterprise-aligned semantic models, reusable business definitions, and certified metrics that support analytics, reporting, and AI solutions.

Ensure interoperability between Databricks, Fabric, Snowflake, Power BI, and future enterprise platforms.

Commercial Data Domain Leadership Serve as the technology lead for Commercial data domains including customer, HCP/HCO, claims, payer, specialty pharmacy, patient services, omnichannel, territory, and master data. Partner with business stakeholders, Data Management, Data Governance, and external vendors to ensure trusted, compliant, and fit-for-purpose commercial data assets.

Oversee onboarding, lifecycle management, quality, and operational support of internal and third-party commercial data sources.

Drive standardization and reuse of commercial data assets and data products across Reporting, Analytics, AI, and Commercial Operations teams.

Platform Operations & Reliability Ensure the reliability, performance, observability, and cost efficiency of Commercial data products and pipelines.

Lead incident, problem, change, and release management while driving automation and continuous improvement.

Establish support models, operational runbooks, service-level expectations, and build-to-run governance.

AI-Ready Data Foundations Enable trusted data products for Machine Learning, RAG, Databricks Genie, copilots, agents, and future AI capabilities.

Partner with AI and Data Science teams to support feature engineering, retrieval pipelines, model inputs,…