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We’re seeking a strategic, hands-on individual contributor to help define and deliver the future of Program Intelligence, analytics and AI across the Program Management organization. This role sits at the intersection of data strategy, storytelling, and portfolio execution – enabling senior leadership to make faster, smarter decisions through high-quality, actionable insights. You will be a key contributor to the Program Intelligence strategy, building scalable data products (dashboards, AI Agents, and analytics pipelines) and ensuring that information is consistent, trusted, and decision-ready. You’ll work directly with PMO leaders and cross-functional partners to design and deliver high-impact customer facing tools (AI Agents, Webapps, etc) and narratives that connect data to business outcomes.
Job Responsibility:
Contribute to the Program Intelligence & Reporting Strategy: Help shape the long-term vision, principles, and architecture for how management information, reporting, and dashboards support portfolio and capacity decision-making
Build decision-grade data products: Design, prototype, and deliver dashboards and reports that serve as the single source of truth for program health, capacity, and delivery performance
Own end-to-end analytics workflows: Translate business questions into metrics, data models, and visualizations that drive clear, actionable decisions
Drive integration and automation: Partner with data engineering and IT to integrate data from Jira, Sharepoint, and enterprise systems — enabling seamless, near real-time visibility across the PMO
Elevate how insights are communicated: Transform complex data into simple, compelling stories that drive alignment and action at the leadership level
Advance a data-driven culture: Help teams move from reporting to true insight — clarifying what the data means, why it matters, and how to act on it
Requirements:
Bachelor’s degree in Business, Data Science, Information Systems, Engineering, or related field
5+ years of experience in business intelligence, analytics, or management reporting roles
Experience with SQL, Python, Cloud Analytics tools (Databricks, AWS, etc) and development of AI driven solutions
Demonstrated experience building dashboards and reporting using modern BI tools (e.g., Power BI, Tableau, Looker) and designing data pipelines
Strong ability to connect metrics to business context — translating operational data into executive-level insights and recommendations
Excellent communication, visualization, and data storytelling skills, especially for senior audiences
Highly collaborative and influential across technical, product, and business stakeholders, with the ability to align diverse perspectives around shared metrics and insights
Nice to have:
MBA or advanced degree in a business or quantitative discipline
Background in tech, product, or engineering environments with a focus on scaling data-driven decision frameworks
Knowledge of Data Science and Machine learning principles
Demonstrated ability to turn ambiguous business needs into structured, insightful reporting systems and dashboards