Job Summary
Within the Technology Business Enablement (TBE) organization, the Lean Portfolio Management (LPM) team is responsible for aligning investment and execution of enterprise priorities, accelerating strategic alignment and planning across Enterprise Centers of Excellence (COEs), Lines of Business (LOBs), and Technology. By integrating lean principles, LPM elevates transparency, optimizes resource allocation, and drives business and customer outcomes through continuous alignment of strategy, funding, and delivery.
The Senior Manager, Portfolio Analytics, Insights, & Governance enables data-driven decision-making by creating scalable analytics solutions and actionable insights that optimize investment decisions, portfolio performance, and sequencing of enterprise priorities and resources. This role specializes in leveraging planning, delivery, productivity, OKRs, capacity, and funding data to inform investment decisions, strategic planning, and execution. It also champions advanced analytics, AI/ML adoption, and visualization capabilities to drive speed of delivery and enterprise outcomes.
This position reports to the Director, Enterprise Portfolio Insights & Optimization and will be based in Chennai, India.
Key Responsibilities
- Drive execution of the Enterprise Portfolio Insights & Governance strategy to deliver measurable business outcomes, accelerate decision-making, and enable speed and flow of delivery across the portfolio.
- Lead development and prioritization of the Enterprise Portfolio Data Insights & Governance reporting and analytics roadmap, ensuring alignment across stakeholders and user personas.
- Implement and maintain a robust governance framework for enterprise portfolio data to maintain hygiene, ensure accuracy, and uphold trust in insights, enabling reliable analytics and reporting at scale.
- Automate manual and repetitive tasks, including presentations and analytical workflows, to improve efficiency and scalability across TBE, LOBs, Product, and Technology.
- Advance integration of AI, ML, BI, and emerging technologies by delivering practical use cases and promoting industry best practices to mature analytics capabilities.
- Translate complex data into compelling narratives and actionable insights, crafting recommendations that inform and influence senior leader decision-making.
- Demonstrate ability to self-start, identify opportunities, and drive results with a high degree of independence.
Excel in a fast-paced environment, adjusting to shifting priorities while maintaining focus on quality and outcomes.
Skill Requirements
- Minimum of 5+ years of progressive experience in Data Analytics/Data Science, product development, and engineering teams, with a proven track record of delivering complex, cross-functional initiatives.
- Bachelor’s degree or higher in business, economics, statistics, mathematics, engineering, or a related field.
- Expertise in Python, Power BI, Tableau, AI/ML, custom GPTs, data modeling, and advanced Excel, with hands-on experience applying analytics to business and portfolio decisioning.
- Experience working with large language models such as Llama and OpenAI GPT, and applying techniques such as retrieval-augmented generation (RAG) and vectorization to analytics or decision-support use cases; familiarity with agentic AI and Graph RAG concepts is a plus.
- Advanced user of enterprise collaboration and reporting tools including Jira, Rally, Clarity, Apptio Target Process, Confluence, Tableau, Power BI, and Airtable.
- Demonstrated success in managing large, complex products or portfolios with multiple stakeholders across product, technology, and business teams.
- Highly skilled in Agile product development methodologies, program and project management, with experience contributing to and executing against a product or analytics roadmap.
- Exceptional collaboration and thought leadership skills, with a proven track record of partnering effectively across global teams to solve complex problems.
- Strong strategic and analytical orientation, combining numerical proficiency with forecasting capabilities and financial acumen to drive business insights and recommendations.
Excellent executive communication skills with the ability to capture and translate insights into a clear story and recommendations for senior audiences.