Position Summary

We’reseeking a portfolio-minded, analytically strong, and execution-oriented Manager to join the Portfolio Intelligence & Performance team within Business Operations. This role will lead deep-dive analytics across priority growth levers, translate findings into a cohesive value story, and support leadership decision-making across growth portfolio oversight and value realization. The role will also help advance the Portfolio Intelligence Storyboard as a centralized decision-support capability for executive reporting and portfolio management.

The ideal candidate brings strong analytical judgment, structured problem-solving skills, a growth mindset, andproduct ownershipmentality.They are comfortable navigating ambiguityand translatingportfolio progress, investment, and value realization into clear, decision-ready insights for leadership.

KeyResponsibilities

• Conduct deep-dive analysis on script and margin growth-driving programs toidentifyvalue drivers, performance gaps, and improvement opportunities.

• Translate ambiguous business questions into structured analytical approaches and useexploratoryanalysis to surface actionable insights that inform growth and strategic decisions.

• Apply AI-enabled and advanced analytics tools to improve analytical efficiency, consistency, and insight generation.

• Partneracross Business Operations and cross-functional teams to build, enhance, and scale the Portfolio Intelligence Storyboard, including KPI definitions and reporting standards that enable consistent, trusted executive reporting.

• Manage the analytics team budget and trackportfolio analytics investments against plan, connectingresource allocation to business value, risks, and leadership decisions.

Required Qualifications

• 5+ years of experience in data science, advanced analytics, strategy analytics, or a related field, withdemonstratedability to structure ambiguous business questions and translate quantitative insights into decision-support materials.

• Strongproficiencyin Python, SQL, or another programming language, with experience working with large relational datasets in platforms such as Azure Databricks, Snowflake, Google Cloud, or similar environments.

• Strong foundationin statistics, quantitative methods, experimentation, causal measurement, and performance evaluation to assess business impact and value realization.

• Strong communicationand storytelling skills, with the ability to synthesize complex analytical findings into concise narratives, executive materials, and actionable recommendations.

• Demonstrated ability to work cross-functionally with business and analytics partners toalign onpriorities, clarify requirements, and drive execution in a fast-paced environment.

• Ability tooperatein evolving problem spaces, proactively explore unknowns, and convert loosely defined business needs into structured analytical plans and actionable recommendations.

Preferred Qualifications

• Experience with data visualization tools (e.g., Tableau, Power BI), along with an understanding of how backend data structures and pipelines support executive-facing dashboards.

• Proven project management skills, including the ability to manage multiple priorities, coordinate cross-functional inputs, and deliver high-quality outputs with attention to detail and timeliness.

• Experience supporting portfolio performance management, capital planning, ROI assessment, or value measurement frameworks is strongly preferred.

Education Requirements

• Bachelor’s degree inaquantitative, analytical, business, or related field such as Data Science, Statistics, Economics, Finance, Business Analytics, Engineering, Operations Research, ora comparablediscipline.

• Master’s degree,MBA, oradvanced degree ina quantitative field preferred.