Senior Manager, Data Analytics - Finance

United States, Pennsylvania, Darby 123 Main Street (Show on map) Nov 04, 2026

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details

Manages and develops the Finance Data Analytics function to drive cross-functional performance and achieve strategic objectives. Leads one-year sub-function plans and delivers integrated quarterly outcomes across teams with clear methods, quality, staffing, and cost controls. Oversees delivery of prioritized analytics outcomes and standardizes practices, controls, and measures to scale impact across financial reporting, profitability analytics, business intelligence, data products, and automation capabilities. Guides stakeholder and vendor alignment to ensure consistent execution, clear handoffs, measurable benefits, and scalable analytics solutions that support financial operations and enterprise decision-making., * Manages the finance analytics roadmap and quarterly delivery plans for financial reporting, profitability analytics, business intelligence, data products, and automation initiatives to achieve sub-function goals and measurable outcomes.

• Leads cross-team execution of complex and highly visible finance analytics initiatives with accountability for project planning, scope, cost, methods, staffing, quality, timelines, workflows, and successful business adoption.

• Oversees data readiness, governance alignment, solution requirements, documentation, testing, and continuity practices to ensure reliable and reusable finance analytics assets, reporting solutions, semantic data models, and data products.

• Directs adoption of program disciplines including risk and issue management, change control, benefits tracking, and solution lifecycle management across finance analytics initiatives. Provides guidance on solution options, risks, costs, benefits, business-process impacts, and alignment with long-term data and technology strategies.

• Drives standardization and scaling of finance analytics, reporting, visualization, testing, and delivery practices that improve consistency, transparency, operational efficiency, and data-driven decision-making. Promotes visualization standards, knowledge transfer, and stakeholder adoption across finance analytics solutions.

• Presents recommendations on analytics strategy, financial reporting and profitability capabilities, data quality improvements, automation opportunities, and process enhancements. Communicates dependencies, mitigations, and trade-offs to senior leaders and partners through clear, audience-appropriate reports, presentations, and data visualizations.

• Manages people-leader responsibilities by setting direction, allocating work, developing technical and business capabilities, providing technical leadership and coaching, and making performance and talent decisions. Builds team expertise across Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data domains.nt decisions.

This job profile description is a standardized, non-contractual reference description and global reference tool provided for organizational consistency and talent architecture purposes across Cencora. It does not alter actual job duties, responsibilities, reporting lines, working conditions, grading, compensation, or other essential terms and conditions of employment.

Actual duties and responsibilities may vary based on business needs, local requirements, and operational practices. Where a team member’s role is governed by an employment agreement, local terms and conditions, prior job description or collective bargaining agreement, those documents shall prevail in case of any inconsistency. Mandatory local laws shall also prevail. Bachelor’s degree in data analytics, statistics, mathematics, computer science, information systems, or a related field, or equivalent experience required. Master’s degree in a quantitative, data, or technology discipline, or a related field, equivalent experience preferred. 7+ years of experience in data analytics, including delivery at a crossteam or subfunction scale, or a related field required. 3+ years of experience in a management capacity required. Certified Analytics Professional (CAP), Project Management Professional (PMP), Lean Six Sigma Green Belt, or equivalent certified preferred. What Cencora offers

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses 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. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora Full time Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.