Technical Program Manager, Data

About the role

Oscar is hiring a Technical Program Manager to join our Tech PMO, dedicated to a major enterprise data transformation. You’ll partner closely with Data leadership to lead migration from planning through delivery, protecting the quality and integrity of the data our teams rely on every day.

Your program will include revamping our data transformation and semantic layers, as well as evolving our data governance and data quality capabilities across the entire business. You’ll coordinate Analytics Engineering, Data Engineering, Data Scientists, Analysts, and business owners through migration, validation, adoption, and operational handoff. This is an individual contributor role reporting to the Director of the Tech PMO, partnering closely with Data leadership.

Responsibilities

• Own the integrated enterprise data migration plan from scoping through delivery and operational handoff, with clear owners, migration waves, milestones, dependencies, and acceptance criteria.
• Turn ambiguity into action across dbt migration, Cube implementation, data governance, and data quality workstreams. Bring the right owners together and resolve gaps in scope, sequencing, and readiness.
• Partner with Analytics Engineering, Data Engineering, Data Scientists, Analysts, and business owners to map upstream and downstream dependencies, coordinate commitments, and make scope, sequencing, and capacity tradeoffs explicit.
• Anticipate migration risks and drive timely decisions. Escalate with clear options, recommendations, and impact on data quality, integrity, reporting, and business continuity.
• Coordinate data reconciliation, testing, cutover and rollback plans, adoption, and operational readiness. Ensure technical and business owners agree on validation evidence, go/no-go criteria, and required security, privacy, and compliance reviews.
• Support program planning and give Data and executive leaders a clear view of migration progress, readiness, unresolved decisions, and outcomes. Drive business acceptance and clear operational ownership for migrated domains.
• Help build a strong TPM team: share useful practices, challenge unnecessary processes, support colleagues, and turn lessons from delivery into improvements.
• Compliance with all applicable laws and regulations.
• Other duties as assigned.

Requirements

• 5+ years of technical program or project management/process-oriented operations work experience.
• 2+ years of experience using coding languages such as SQL to analyze project performance and risks and develop reports for management and business owners.
• Experience independently leading complex software development programs across multiple teams, from planning through launch and operational handoff.
• Technical fluency in data pipelines, transformation layers, data models, semantic layers, lineage, and integrations, with the judgment to challenge migration plans, validation approaches, and implementation tradeoffs.
• Demonstrated ability to structure ambiguous enterprise programs, manage cross-domain dependencies and competing priorities, and coordinate data validation, cutover readiness, and business continuity.
• A record of building trust and influencing decisions across Analytics Engineering, Data Engineering, Data Scientists, Analysts, business owners, and executive stakeholders without direct authority.
• Clear written and verbal communication, including the ability to translate technical migration risks into business impact and recommend a course of action to senior leaders.
• Strong ownership and follow-through, with examples of moving work forward when plans change or obstacles arise.

Bonus points

• Experience in healthcare, health insurance, or another regulated industry.
• Experience with dbt and Cube, or comparable transformation and semantic-layer technologies.
• Experience implementing data governance, data quality controls, lineage, or consistent business metric definitions across domains.
• Experience coordinating external vendors and helping business and analytics teams adopt new data platforms and ways of working.
• Experience migrating business-critical analytics or reporting with staged validation, reconciliation, cutover, and rollback practices.