Senior Data Program Manager

New Relic
New York City, New York, USA; San Francisco, California, USA; Seattle, Washington, USAPosted 6 March 2026

Job Description

<div class="content-intro"><p>We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!</p></div><p style="line-height: 1.2;"><strong>Your opportunity<br></strong>We are seeking an experienced and highly collaborative Data Program Manager to orchestrate our most critical data initiatives. This pivotal role will act as the central point of contact for programs spanning our Analytics, Data Science, AI Foundations, and Data Governance teams. You will be responsible for the successful planning, execution, and delivery of complex programs, working in close partnership with our Data Engineering team and engaging directly with executive-level business stakeholders. The ideal candidate excels at navigating cross-functional dependencies and translating strategic business objectives into actionable data programs.</p> <p><strong><br>What you'll do</strong></p> <ul> <li>Develop and execute a unified data program roadmap that supports the strategic goals of our Analytics, Data Science, and AI initiatives. Define program scope, objectives, and deliverables in collaboration with team leads.</li> <li>Serve as the primary liaison between technical data teams and executive leadership. Effectively communicate program status, risks, and strategic value to business stakeholders, ensuring alignment and buy-in.</li> <li>Lead and coordinate complex, cross-functional programs across Analytics, Data Science, AI Foundations, and Data Governance teams. Foster strong partnerships with Data Engineering to ensure foundational support for all initiatives.</li> <li>Champion and facilitate the implementation of data governance policies across all data programs, ensuring data quality, integrity, security, and compliance in partnership with the Data Governance team.</li> <li>Proactively identify and mitigate potential risks, roadblocks, and dependencies between teams. Develop contingency plans to ensure program milestones are met.</li> <li>Define and track key performance indicators (KPIs) that measure the business impact and success of data programs. Provide clear, concise reports and presentations to senior leadership.</li> <li>Develop and manage the data program budget and advocate for the resources needed across teams to achieve program goals.<em><br><br><br></em></li> </ul> <p style="line-height: 1.2;"><strong>This role requires</strong></p> <ul> <li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li> <li>7+ years of experience in program management, with a proven track record of successfully delivering complex, data-focused programs in a multi-team environment.</li> <li>Strong understanding of the data lifecycle and principles of data governance, data quality, and data architecture. Familiarity with the needs of analytics, data science, and AI/ML projects.</li> <li>Proficiency in project and program management methodologies such as Agile, Scrum, and Waterfall.</li> <li>Experience with data management tools and platforms (e.g., SQL, Python, R).</li> <li>Familiarity with data visualization tools (e.g., Tableau, Power BI).</li> <li>Exceptional leadership skills with the ability to influence and align teams and senior stakeholders without direct authority. </li> <li>Excellent verbal and written communication skills, with a demonstrated ability to articulate complex technical concepts and program details to an executive audience.</li> <li>Strong strategic and analytical thinking skills, with the ability to connect the work of individual data teams to broader business objectives.< ... (truncated, view full listing at source)