Senior Manager, Data Analytics - Finance

Mwiah; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Cencora, Inc. is seeking a Senior Manager of Data Analytics - Finance to lead the finance analytics function, align cross-functional teams, and drive strategic outcomes. You will oversee data readiness, governance, and scalable analytics assets across financial reporting and profitability analytics.

The role requires 7+ years in data analytics, 3+ years in management, and advanced skills in Azure Databricks, Power BI, and SQL; Master’s degree preferred.

Qualifications

• Bachelor’s degree in data analytics, statistics, mathematics, CS, IS, or related field or equivalent experience.
• Master’s degree in quantitative/tech discipline preferred or equivalent experience.
• 7+ years of experience in data analytics, including cross-team delivery.
• 3+ years of experience in a management capacity.

Responsibilities

• Manages and develops the Finance Data Analytics function to drive cross-functional performance and strategic objectives.
• Leads sub-function plans and delivers quarterly outcomes with clear methods, staffing, and cost controls.
• Oversees data readiness, governance, requirements, testing, and continuity practices for reliable finance analytics assets.
• Drives standardization and scaling of analytics, reporting, visualization, testing, and delivery practices across finance analytics.

Skills

Data analytics

Statistics

Mathematics

Leadership

Project management

Education

Bachelor's degree in data analytics or related field

Master’s degree preferred

Tools

Azure Databricks

Microsoft Power BI

SQL

Job description

Senior Manager, Data Analytics - FinanceNous utilisons des témoins et des technologies de suivi pour vous offrir une meilleure expérience de navigation, analyser le trafic sur le site et améliorer le site Web.# AmerisourceBergen Carrières - Commencez ici un avenir plus sain!## Senior Manager, Data Analytics - FinancePostuler: Remote, Philadelphia: Temps Plein: Publié aujourd'hui: Date de fin : 27 novembre 2026 (Il reste 22 jours pour postuler): R2616927Our 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. **Job Description** * 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 cross‐team or sub‐function 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.