Engineering Program Manager – Data, Analytics, Data Migration

🕒 May 19

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itD

501 - 1000 employees

Founded 2005

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

itD is a technology and software development consultancy that partners with enterprise clients to design and deliver next-generation digital experiences, transform technology operations, and convert data into competitive advantage. The firm provides outcome-driven services including AI strategy and integration, data engineering and analytics, enterprise search and personalization, DevOps and cloud-native software engineering, managed services, change management, quality assurance, and digital accessibility. itD focuses on rapid, practical delivery for B2B and enterprise customers, blending full-service consultancy experience with specialized engineering agility.

📋 Description

• Lead cross-functional initiatives related to user behavior data and analytics including purchases, subscriptions, and sales trends. • Support efforts to replace the legacy Data and Analytics application with a newly built internal analytics tool. • Partner with internal and external stakeholder teams that are end-users of the commerce data. • Drive coordination across stakeholder teams to align on dashboarding, reporting infrastructure, UI elements, and API design. • Manage project timelines, stakeholder inputs, and technical program plans to ensure successful execution.

🎯 Requirements

• Mid-level program management experience in data and analytics environments, specifically with Commerce and Payment data, such as transactions, clicks, and purchases. • Strong business acuity, strategic thinking, and analytical skills to interpret the meaning of the data, its impact, and how it can be stitched for decision-making. • Strong communication skills and comfortable working with ambiguous information often with tight timelines. • Familiarity with BI tools, backend and frontend system requirements, and data infrastructure supporting reporting tools. • Experience working with stakeholder teams to identify and implement requirements for analytics applications. • Ability to collaborate across teams, gather input, and build alignment toward common technical outcomes. • Comfortable working autonomously and operating in fast-moving environments.

🏖️ Benefits

• medical • dental • vision • life insurance • paid holidays • 401K + matching • networking & career learning and development programs

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