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Portfolio Analytics & Insights Lead

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: ServiceNow
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Portfolio Analytics & Insights Lead position comes with the opportunity to play a key role in transforming how the Infrastructure & Automation (I&A) organization leverages data to drive decision‑making and demonstrate business impact s role will serve as the intelligence architect for the organization, responsible for designing, building, and maintaining the analytics infrastructure, reporting frameworks, and insights capabilities that provide visibility into portfolio health, performance trends, and strategic outcomes.

An ideal candidate will blend data analytics expertise, business acumen, visualization design skills, and storytelling capability to transform raw data into actionable intelligence that informs leadership decisions and drives organizational performance. This role involves a range of key responsibilities, all aimed at creating a data‑driven culture and enabling evidence‑based portfolio management across I&A. As such, the candidate must balance technical analytics capabilities with strategic business context, combining analytical rigor with narrative clarity to illuminate what matters most.

What

you get to do in this role:
  • Design, build, and continuously evolve the analytics and reporting ecosystem that enables I&A leadership to understand portfolio performance, identify trends, anticipate risks, and make informed investment decisions. Transform complex data into compelling insights and visualizations that drive action and accountability
  • Design and build comprehensive portfolio dashboards that provide real‑time visibility into initiative health, resource utilization, delivery velocity, risk exposure, and business impact across the I&A landscape
  • Develop analytics frameworks and measurement models that define how success is measured, tracked, and reported – including leading and lagging indicators, health scoring methodologies, and benefit realization tracking approaches
  • Own the data architecture for portfolio reporting, establishing data standards, defining source system integrations, ensuring data quality and integrity, and building automated data pipelines that minimize manual effort
  • Create executive‑level insights and narratives by analyzing portfolio data to identify trends, patterns, anomalies, and strategic implications – translating metrics into meaningful business stories for leadership consumption
  • Design and maintain the portfolio reporting calendar, establishing regular cadences for performance reviews, trend analysis, deep‑dives, and strategic planning cycles with appropriate stakeholder audiences
  • Partner with business intelligence and data engineering teams to leverage enterprise analytics platforms, integrate I&A portfolio data with broader organizational systems, and build scalable reporting solutions
  • Establish self‑service analytics capabilities by building intuitive dashboards, creating user guides, and enabling stakeholders to access and interpret data independently while maintaining governance and consistency
  • Conduct ad‑hoc analysis and scenario modeling to support strategic decisions, business case development, capacity planning, and investment prioritization discussions
  • Drive continuous improvement of analytics capabilities by gathering stakeholder feedback, identifying gaps in current reporting, exploring emerging analytics technologies, and evolving the insights ecosystem to meet changing needs
  • Support executive presentations by providing data‑driven content, compelling visualizations, and analytical narratives that inform leadership…
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