Senior Manager, Data Analytics - Finance

Role overview Lead a finance data analytics function that turns reporting, profitability analysis, business intelligence, data products, and automation into reliable tools for financial operations and enterprise decisions. You will set delivery plans, coordinate complex work across teams, and develop the people and practices needed to scale analytics effectively.

Responsibilities - Set the analytics roadmap and quarterly priorities, aligning scope, staffing, timelines, quality, and costs with measurable outcomes. - Lead cross-team initiatives from requirements and data readiness through testing, launch, adoption, and ongoing lifecycle management. - Establish consistent governance, documentation, controls, reporting, visualization, and delivery practices for reusable analytics assets. - Assess solution options and explain their risks, costs, benefits, business impacts, and fit with longer-term data and technology plans. - Track risks, issues, dependencies, changes, and benefits; communicate trade-offs and recommendations to senior stakeholders. - Manage and coach the team, allocate work, guide technical development, and make performance and talent decisions.

Requirements - Bachelor’s degree in a quantitative or technology-related field, or equivalent experience. - At least 7 years in data analytics, including delivery across teams or at a sub-function scale. - At least 3 years of management experience. - Ability to lead complex analytics work, guide stakeholders, and communicate findings and recommendations clearly.

Nice to have - A master’s degree in a quantitative, data, or technology discipline. - Experience with Azure Databricks, Power BI, SQL, financial reporting, or profitability analytics. - CAP, PMP, Lean Six Sigma Green Belt, or a comparable certification.

Benefits and work setup Full-time role. Benefits include medical, dental, and vision coverage, wellness resources, family support programs, paid parental and caregiver leave, training, professional development, mentorship, employee groups, and volunteer opportunities.