Technical Program Manager

Technical Program Manager

Requirements

• 2–5 years of experience in technical program management, preferably in data engineering, ML, analytics, or platform environments
• Proven ability to manage technical programs end-to-end across multiple teams and stakeholders
• Familiarity with data pipelines, ETL/ELT, data warehousing, analytics tooling (e.g., dbt, Looker, Snowflake), and ML lifecycle concepts
• Strong organizational and communication skills with the ability to distill complexity and manage competing priorities
• Experience with agile methodologies, program planning tools (Jira, Asana, Confluence), and stakeholder reporting
• Bachelor’s degree in computer science, Engineering, Data, or a related field—or equivalent practical experience
• Experience working within modern data stacks and platforms (e.g., Databricks, Airflow, Spark, Kafka)
• Familiarity with MLOps workflows and model governance practices
• Understanding of data privacy, compliance (e.g., GDPR, HIPAA), or security in a data context
• Background in data-intensive product or platform organizations

Responsibilities

• Drive execution of end-to-end data programs, ensuring timelines, milestones, and quality targets are met
• Develop project plans, track progress, proactively identify risks, and drive resolution of blockers across teams
• Coordinate program activities across agile squads involving data engineering, ML, analytics, architecture and infrastructure teams
• Communicate program status via regular updates to key stakeholders
• Make informed, timely decisions by balancing short-term execution needs with long-term strategic impact
• Partner with technical and non-technical teams including product, analytics, engineering, and business operations to align on scope, success criteria, and timelines
• Serve as a liaison between stakeholders, ensuring clear communication and translating business requirements into actionable technical plans
• Support intake and prioritization of new data initiatives, working with leadership and PMs to define roadmaps and OKRs
• Thrive in dynamic environments by adapting quickly to evolving priorities and driving progress despite ambiguity
• Implement established best practices for data program delivery, including documentation, program status reporting, backlog grooming, agile ceremonies and release coordination
• Maintain visibility into key metrics such as delivery velocity, data product SLAs, model performance, and business impact
• Contribute to the implementation of governance and compliance processes in partnership with Data Governance
• Foster a positive, inclusive team culture by actively participating in team rituals, supporting onboarding, and promoting knowledge sharing

Preferred Qualifications

No preferred qualifications provided.