Senior Manager, Data Analytics - Finance

Cencora • Philadelphia, PA

2d

About The Position

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

The position manages the finance analytics roadmap and delivery plans, leads complex cross-team initiatives, and oversees data readiness, governance alignment, requirements, documentation, testing, and continuity practices. It guides stakeholders and vendors to support consistent execution, measurable benefits, and scalable solutions for financial operations and enterprise decision-making. The role also drives standardization and adoption, communicates strategic recommendations and trade-offs to senior leaders, and manages people-leader responsibilities, including work allocation, coaching, capability development, and performance and talent decisions.

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 for financial reporting, profitability analytics, business intelligence, data products, and automation initiatives.
• Lead cross-team execution of complex, highly visible finance analytics initiatives, with accountability for planning, scope, cost, methods, staffing, quality, timelines, workflows, and business adoption.
• Oversee data readiness, governance alignment, solution requirements, documentation, testing, and continuity practices for reliable and 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 finance analytics, reporting, visualization, testing, and delivery practices to improve consistency, transparency, efficiency, and data-driven decision-making.
• Promote visualization standards, knowledge transfer, and stakeholder adoption across finance analytics solutions.
• Present recommendations on analytics strategy, financial reporting and profitability capabilities, data quality, automation opportunities, and process improvements.
• Communicate dependencies, mitigations, and trade-offs to senior leaders and partners through reports, presentations, and data visualizations.
• Set team direction, allocate work, develop technical and business capabilities, provide technical leadership and coaching, and make performance and talent decisions.
• Build team expertise in Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data domains.

Benefits

• Medical, dental, and vision care.
• Benefits focused on physical, emotional, financial, and social wellness.
• 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