We are seeking a results-driven Program Manager to join our insurance data team, specializing in policy data operations. This is a hybrid role anchored in program and project management, with enough technical depth to hold your own with engineering teams and translate pipeline priorities into business outcomes.
70% Project Mangement & 30% Technical
The right candidate is equally comfortable presenting a program roadmap to a C-suite executive and sitting alongside a data engineer to debug a failing ADF pipeline. You thrive in ambiguity, context-switch without losing momentum, and treat operational stability as seriously as new project delivery.
Program & Project Management (70%)
Own end-to-end program delivery for data platform initiatives scoping, planning, risk management, and stakeholder communication from kickoff through go-live.
Maintain a unified view of all active data pipeline projects and operational priorities, surfacing trade-offs and sequencing conflicts to senior leadership.
Communicate program status, risks, and decisions clearly to C-level executives and business stakeholders translating technical complexity into business language without losing accuracy.
Drive cross-functional alignment between data engineering, analytics, actuarial, and business teams; ensure requirements are clearly captured and validated before build begins.
Manage competing priorities across new project delivery and ongoing pipeline operations balancing BAU stability with forward progress.
Build and maintain program governance structures: status cadences, RAID logs, decision registers, and escalation paths.
Coordinate delivery timelines and dependencies across Azure Data Factory, SSIS, and Databricks workflow initiatives.
Lead retrospectives and continuous improvement cycles; document and socialize lessons learned across the team.
Technical Oversight (30%)
Maintain sufficient fluency in Azure Data Factory, SSIS, SQL Server, and Databricks Workflows to review technical proposals, identify delivery risks, and participate meaningfully in architecture conversations.
Partner with data engineers to triage and prioritize production pipeline incidents understanding enough of the stack to assess severity and drive resolution timelines.
Review and validate data flow documentation, pipeline architecture diagrams, and technical runbooks for completeness and accuracy.
Contribute to build-vs-buy and platform migration decisions, particularly around SSIS-to-ADF transitions and Databricks workflow adoption.
Ensure technical deliverables meet data security, compliance, and insurance industry regulatory requirements.
Support CI/CD and version control (Git) adoption across the data engineering team as a program-level enabler.
Required Qualifications
5+ years of program or project management experience, with at least 2 years in a data engineering, data platform, or analytics infrastructure context.
Demonstrated ability to communicate with C-suite and senior business stakeholders written and verbal clarity is non-negotiable.
Hands-on familiarity with Azure Data Factory and/or SQL Server Integration Services (SSIS) you don't need to build pipelines, but you need to understand how they work and what can go wrong.
Working knowledge of SQL Server and the role of stored procedures in data transformation and reporting workflows.
Proven experience managing both operational run-the-business priorities and new project delivery simultaneously.
Comfortable being uncomfortable ability to quickly absorb new domains, context-switch between strategic and tactical work, and operate effectively in ambiguity.
Experience in the insurance industry, particularly with policy data, is highly preferred.
Strong understanding of data security and compliance requirements relevant to insurance operations.
Bachelor's degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience).
Preferred Qualifications
Experience with Databricks Workflows for pipeline orchestration and scheduling.
Familiarity with Python in a data engineering context enough to read scripts, understand automation approaches, and communicate with engineers about implementation options.
Exposure to BI tools such as Power BI or Tableau in a reporting or data ops context.
Hands-on experience with CI/CD pipelines and Git-based version control for data workflows.
PMP, PMP, or equivalent program management certification.
Experience supporting or leading SSIS-to-Azure Data Factory migration programs.
Core Technology Stack
Azure Data Factory SQL Server SSIS Databricks
Python Git / CI-CD Power BI / Tableau Azure Data Lake
Nitu
Y&L Consulting, Inc./Sistema Technologies
A YASH Technologies Company
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