Manager, Portfolio Intelligence & Measurement

Key Responsibilities

• Carry out deep-dive analysis on script and margin growth-driving programs to identify value drivers, performance gaps, and improvement opportunities.
• Translate ambiguous business questions into structured analytical approaches and use exploratory analysis 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.
• Partner across 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 track portfolio analytics investments against plan, connecting resource 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, with demonstrated ability to structure ambiguous business questions and translate quantitative insights into decision-support materials.
• Strong proficiency in 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 foundation in statistics, quantitative methods, experimentation, causal measurement, and performance evaluation to assess business impact and value realization.
• Strong communication and 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 to align on priorities, clarify requirements, and drive execution in a fast-paced environment.
• Ability to operate in 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.
• Prominent 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 in a quantitative, analytical, business, or related field such as Data Science, Statistics, Economics, Finance, Business Analytics, Engineering, Operations Research, or a comparable discipline.
• Master’s degree, MBA, or advanced degree in a quantitative field preferred.