Senior Business Partner, Finance Business Partnering. Waltham LilyLifestyle

About us

At National Grid, we're at the heart of the energy transition — building smarter, cleaner, and more resilient energy systems. Finance plays a critical role by combining commercial insight with data, analytics, automation, and emerging technologies to help the business make better decisions, faster.

We are actively evolving how finance partners with the business — moving away from manual, backward‑looking reporting toward automated, insight‑driven, and AI‑enabled finance. This evolution emphasizes analytical rigor, transparency, and tools that support clear and confident business decision making.

The Senior Analyst – Finance Business Partner supports Infrastructure & Operations (I&O) within the US IT organization, with a strong emphasis on advanced analytics, statistical modeling, automation, and the application of AI solutions. The role partners closely with senior I&O leaders to deliver financial insight, while also designing and implementing modern, data‑driven and AI‑enabled solutions that improve forecasting, performance management, and decision support.

A core expectation of the role is the ability to build quantitative models—including regression‑based and driver‑based models—and clearly explain assumptions, drivers, sensitivities, and limitations to non‑technical business stakeholders.

Ideally this role will be based in Waltham, MA, but we will consider candidates in Syracuse and/or Brooklyn, NY with a hybrid working expectation of at least two days per week in the office.

Act as a trusted finance partner to I&O leaders, combining financial expertise with data and analytics‑driven insight. Proactively identify trends, risks, and opportunities using advanced analytics rather than purely retrospective variance analysis. Translate complex financial and analytical model outputs into clear, actionable insights for senior stakeholders, including explanation of key drivers, sensitivities, and trade‑offs.

Design, develop, and maintain advanced analytics and automated financial solutions, including forecasting, performance analysis, scenario modeling, and statistically sound predictive models (e.g., regression‑based and driver‑based). Build, test, and validate financial and operational models using appropriate statistical techniques (e.g., regression analysis, sensitivity testing, error measurement), ensuring robustness, transparency, and repeatability. Design and/or implement AI‑enabled use cases within finance (e.g., predictive forecasting, anomaly detection, driver‑based analysis, narrative generation, or decision support), with appropriate governance and explainability.

Apply advanced data manipulation techniques to large, complex, multi‑source datasets to enable scalable and repeatable insights. Reduce manual reporting and analysis through automation, standardization, and AI‑driven approaches. Document model logic, assumptions, drivers, and limitations, ensuring outputs are suitable for business discussion and review. Partner with Finance and IT teams to identify, test, and scale practical AI and analytics solutions aligned to business needs and governance standards.

Lead budget and forecast activities for assigned I&O cost centers using data‑driven and predictive techniques, including driver‑based and regression‑based approaches where appropriate. Analyze monthly and year‑to‑date performance versus budget and forecast, with a strong forward‑looking focus. Partner with FP&A and Controllership to ensure data integrity, transparency, and consistency across models and outputs, including alignment on assumptions, methodologies, and documented logic.

Drive continuous improvement across finance processes, data quality, analytics capability, and tooling. Collaborate with Finance, IT, and Enterprise teams on analytics platforms and systems (e.g., Power BI, Apptio, SAP, AI and analytics tools). Contribute to broader US IT Finance initiatives focused on digital finance, automation, and the responsible…