Division Data & Analytics Manager

About the Role

Key Responsibilities

• Drive execution of division 'data as an asset' strategy to enable value realization, profitable growth, efficient scalability, differentiation, and competitive advantage.
• Drive a culture that treats data with the same rigor and intention as financial, human, or physical capital.
• Identify high-value data domains and create roadmaps for improving their quality, availability, and business use.
• Lead a team of Data Engineers, Data Analysts, and Data Management Organization (DMO) staff in a solid line and dotted line (matrixed structure).
• Serve as the data governance lead for the division and coordinate with the corporate/enterprise DMO to align standards, tools, and metadata practices.
• Implement and monitor data governance policies including stewardship assignments, data lineage, quality KPIs, and issue escalation.
• Ensure compliance with enterprise data frameworks and applicable regulatory requirements (e.g., GDPR, HIPAA).
• Oversee the creation of scalable analytics solutions, dashboards, and models to unlock value from internal and external data sources.
• Partner with business units to understand data needs, surface actionable insights, and enable data-informed decision-making.
• Track adoption and impact of analytics initiatives through defined KPIs and ROI metrics.
• Establish and oversee data stewardship processes to uphold data integrity across critical systems and workflows.
• Develop standards for data ownership, quality measurement, and issue remediation.
• Partner with IT to ensure technical architecture supports reliable, governed, and accessible data.
• Lead and grow a high-performing team of data professionals including analysts, data engineers, and data stewards.
• Build strong partnerships with division leaders, corporate IT, and enterprise DMO stakeholders to ensure alignment and adoption.
• Educate stakeholders on the value of high-quality, governed data and foster a shared sense of accountability.

Requirements

• Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, Engineering, or related discipline.
• 7+ years of progressive experience in data analytics, governance, or enterprise data management, with 3+ years in a leadership role.
• Demonstrated experience in managing data as an asset, including valuation, prioritization, and lifecycle stewardship.
• Strong command of data governance principles, metadata, master data, and data quality management practices.
• Proficiency in modern analytics platforms (e.g., SAP Analytics Cloud, Power BI, Tableau), data engineering tools (e.g., SQL, Python), and cloud ecosystems or data engineering platforms (e.g., Databricks).

Nice to Have

• Master's degree or certification in Computer Science, Data Analytics, MBA, Engineering, Business Intelligence, or Information Management.
• Experience operationalizing enterprise DMO frameworks within a divisional or regional business unit.
• Knowledge of data privacy and compliance standards relevant to the industry (e.g., SOX, HIPAA, CCPA, CMMC, CUI).
• Experience with SAP Table structures, CDS views.

Qualifications

• Educational background as specified in requirements (Bachelor's degree minimum).
• Experience in data analytics, governance, or enterprise data management with leadership experience.

Benefits & Perks

• Range for this position is $158,093.00 - $217,378.00 depending on experience and location.
• Medical, dental, vision, 401(k) plan, pension plan, life insurance, disability benefits, and PTO.
• Company-paid pension benefit that grows throughout your career.
• 401(k) savings plan with company matching contributions.
• Health and well-being benefits including paid parental leave, family building support, fitness programs, and disease management.
• Company-wide bonuses and long-term incentives aligned with business results.
• Peer-to-peer recognition program to celebrate success.