Manager, Data Strategy - Finance Transformation

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Description

The Manager, Data Strategy, will leverage advanced technical expertise and robust project management skills to drive enterprise-wide Finance Transformation initiatives. Responsibilities may include supporting complex programs such as Finance Data Governance, SAP Enablement, and financial systems strategy, with a focus on translating finance data into actionable insights using best in class technologies.

Responsibilities

The Manager, Data Strategy supports large scale transformational programs by focusing on:

· Partnering across the organization to build an enterprise data strategy that leverages data and insights for informing our finance business strategy.

· Collaborating with technical leadership and a strategic mindset to align data capabilities with business objectives, driving actionable insights.

· Design frameworks that enable real-time data exploration and distill complex financial information for stakeholders across global teams.

· Apply advanced data storytelling, user experience (UX), and information design principles to ensure financial insights are communicated with maximum clarity, impact, and accessibility.

· Build scalable visualization pipelines utilizing best practices in ETL, data modeling, and cloud analytics integration for cross-functional finance teams.

· Lead technical workshops and training sessions to upskill team members in best practices and advanced analytics techniques.

· Direct and oversee all phases of project management for data initiatives, including planning, resource allocation, risk management, timeline adherence, and quality assurance.

· Facilitate effective cross-functional collaboration by aligning technical