Senior Engineering Program Manager IS, Data Engineering, Hybrid

Providence • Renton, WA

1d • Hybrid

About The Position

As a Senior Engineering Program Manager, you’ll sit at the intersection of technology, data, strategy, and caregiver experience—partnering closely with Engineering, Data, and business leaders to define data requirements, design scalable integrations, and deliver services that delight caregivers and drive real value at Providence. This role blends big‑picture vision with hands‑on execution, guiding solutions from early concept through launch and beyond, with a strong focus on how data is sourced, modeled, integrated, and operationalized across platforms. You’ll thrive in a fast‑paced environment, juggling priorities, solving complex problems, and bringing clarity to ambiguity—whether that’s aligning stakeholders on data contracts, shaping integration patterns, or ensuring analytics and operational data are reliable and fit for purpose. From influencing feature and data architecture designs to managing releases and championing data quality, observability, and continuous improvement, you’ll own the end‑to‑end experience. If you love collaborating with smart teams, shipping meaningful, data‑driven solutions, and leaving systems better than you found them, this is your chance to make a lasting impact. Providence offers hybrid work opportunities for candidates residing within a daily commuting radius—up to 75 miles—from any of our primary office locations listed below. Washington: Seattle, Redmond, Renton, Vancouver California: Los Angeles, Irvine Oregon: Portland, Beaverton

Requirements

• Bachelor's Degree Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education and experience
• 5 or more years of related experience
• Strong program and project experience

Nice To Haves

• Master's Degree -OR- a combination of equivalent education and experience
• Experience in a Healthcare environment
• 5 or more years of experience in Data Engineering technologies and architecture
• Data Warehousing Strategies: Experience designing and evolving data warehousing strategies that support scalability, performance, and enterprise analytics needs
• Data Transformation & Pipelines: Strong background building and maintaining data transformation processes and reliable, automated data pipelines for analytics and reporting
• Azure Technologies: Hands-on experience with Azure data and cloud technologies to support modern, scalable data platforms and integrations
• Snowflake: Experience working with Snowflake for cloud-based data warehousing, including data modeling
• Stakeholder Management & Communication: Proven ability to collaborate with technical and business stakeholders, clearly communicate complex data concepts, and align solutions to business needs

Responsibilities

• Define data requirements
• Design scalable integrations
• Deliver services that delight caregivers and drive real value
• Guide solutions from early concept through launch and beyond
• Focus on how data is sourced, modeled, integrated, and operationalized across platforms
• Juggle priorities, solve complex problems, and bring clarity to ambiguity
• Align stakeholders on data contracts
• Shape integration patterns
• Ensure analytics and operational data are reliable and fit for purpose
• Influence feature and data architecture designs
• Manage releases
• Champion data quality, observability, and continuous improvement
• Own the end-to-end experience

Benefits

• Best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees