Job Description

The Senior Manager, Data & Analytics (D&A) will lead the development, implementation, and optimization of enterprise-wide data and analytics capabilities, including AI-driven solutions that deliver actionable insights and measurable business value. This role is responsible for defining and executing a comprehensive data and analytics strategy aligned with financial and organizational objectives.

This highly visible position partners across all areas of the business and regularly engages with senior leadership. The role plays a critical part in transforming the Finance function and enabling data-driven decision-making across the organization.

Key Responsibilities

• Develop and execute a comprehensive data and analytics strategy aligned with financial and business goals
• Drive the transformation of Finance and other functions through advanced analytics and AI initiatives
• Partner with the IT function to co-create and align the D&A strategy, ensuring strong data foundations
• Collaborate with senior leadership to identify, prioritize, and deliver high-impact financial analytics initiatives
• Enable reporting automation by designing and maintaining dashboards that clearly communicate KPIs and insights
• Work closely with the CEO, CFO, and leadership team to establish and coordinate the AI Governance Council
• Own and advance the enterprise Technology Roadmap, ensuring alignment with business strategy and architecture
• Establish, implement, and enforce data governance policies and procedures within Finance
• Ensure accuracy, consistency, and reliability of data used for analytics and reporting
• Serve as the Finance owner and lead for financial systems (e.g., HFM, Tagetik)
• Partner with FP&A to develop predictive and prescriptive analytics models for forecasting and strategic planning
• Perform ad hoc analyses to support strategic initiatives and answer complex business questions

Qualifications & Experience

• Bachelor’s degree in Data Science, Statistics, Finance, Accounting, or a related field
• 7+ years of experience in data analytics, including relevant financial experience
• Proficiency with data analysis tools and languages such as SQL, Excel, Python, and/or R
• Experience with data visualization tools (Power BI, Tableau, or similar)
• Strong understanding of statistical methods and data modeling techniques
• Manufacturing industry experience preferred
• SAP experience preferred
• Self-starter with a strong results-driven mindset
• Collaborative leader with excellent written and verbal communication skills

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