Senior Manager, Data Analytics - Finance

Cencora • Philadelphia, PA

17h

About The Position

The Senior Manager, Data Analytics – Finance manages and develops Cencora’s Finance Data Analytics function to advance cross-functional performance and strategic objectives. The role leads one-year sub-function plans and integrated quarterly outcomes, with accountability for delivery methods, quality, staffing, and cost controls. It oversees prioritized analytics work and standardizes practices, controls, and measures across financial reporting, profitability analytics, business intelligence, data products, and automation.

The position manages the finance analytics roadmap and quarterly delivery plans, leads complex cross-team initiatives, and ensures analytics assets and reporting solutions are reliable, reusable, and governed. It guides stakeholder and vendor alignment, solution planning, risk and change management, benefits tracking, adoption, and lifecycle practices. The role also advises on solution options and their costs, risks, benefits, process impacts, and alignment with long-term data and technology strategies.

The Senior Manager promotes consistent analytics, reporting, visualization, testing, and delivery practices; communicates recommendations and trade-offs to senior leaders and partners; and leads people-management activities, including work allocation, coaching, capability development, and performance and talent decisions. The role builds team expertise in Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data domains.

Requirements

• Bachelor’s degree in data analytics, statistics, mathematics, computer science, information systems, or a related field, or equivalent experience.
• At least 7 years of experience in data analytics, including delivery at a cross-team or sub-function scale, or a related field.
• At least 3 years of experience in a management capacity.

Nice To Haves

• Master’s degree in a quantitative, data, or technology discipline, or a related field, or equivalent experience.
• Certified Analytics Professional (CAP), Project Management Professional (PMP), Lean Six Sigma Green Belt, or equivalent certification.

Responsibilities

• Manage the finance analytics roadmap and quarterly delivery plans across financial reporting, profitability analytics, business intelligence, data products, and automation.
• Lead cross-team execution of complex, high-visibility finance analytics initiatives, including planning and accountability for scope, cost, methods, staffing, quality, timelines, workflows, and business adoption.
• Oversee data readiness, governance alignment, solution requirements, documentation, testing, and continuity practices for reliable, reusable analytics assets, reporting solutions, semantic data models, and data products.
• Direct risk and issue management, change control, benefits tracking, and solution lifecycle management across finance analytics initiatives.
• Advise on solution options, risks, costs, benefits, business-process impacts, and alignment with long-term data and technology strategies.
• Standardize and scale analytics, reporting, visualization, testing, and delivery practices to improve consistency, transparency, operational efficiency, and data-driven decision-making.
• Promote visualization standards, knowledge transfer, and stakeholder adoption of finance analytics solutions.
• Present recommendations on analytics strategy, financial reporting and profitability capabilities, data quality improvements, automation opportunities, and process enhancements.
• Communicate dependencies, mitigations, and trade-offs to senior leaders and partners through clear, audience-appropriate reports, presentations, and data visualizations.
• Set direction for the team, allocate work, develop technical and business capabilities, provide technical leadership and coaching, and make performance and talent decisions.
• Build team expertise across Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data domains.
• Guide stakeholder and vendor alignment to support consistent execution, clear handoffs, measurable benefits, and scalable analytics solutions.

Benefits

• Medical, dental, and vision care.
• Wellness resources addressing physical, emotional, financial, and social well-being.
• Support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family-building support, behavioral health solutions, paid parental leave, and paid caregiver leave.
• Training programs, professional development resources, and mentorship opportunities.
• Opportunities to participate in employee resource groups and volunteer activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior