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The Director of Data Analytics & Governance is a strategic cross-functional leader responsible for connecting enterprise data capabilities with the company’s business strategy and long-term value creation. In this role the director partners closely with executive leadership, commercial teams, operations, supply chain, product line management, finance, and IT to translate business objectives into data-driven strategies that accelerate growth, strengthen operational performance, and enhance customer and supplier experiences. This role sets the vision for enterprise master data governance, advanced analytics, and data-enabled transformation. The director ensures data is a trusted asset and leverages insights, predictive analytics, and business intelligence to influence strategic planning, guide investment decisions, and support the company’s competitive positioning within the industrial manufacturing sector.
Job Responsibility:
Set the enterprise BI vision and roadmap, ensuring alignment with company strategic priorities
Lead the modernization of BI platforms, including enterprise adoption, governance, and scalable reporting architecture
Champion a consistent KPI framework and standardized reporting to improve visibility, accountability, and performance management
Identify and prioritize BI initiatives that enhance revenue, customer value, operational efficiency, and cost optimization
Establish BI portfolio intake, prioritization, and value measurement processes
Define and lead the master data governance operating model for key enterprise domains (customer, product, supplier, material, asset)
Partner directly with business process owners to ensure data accuracy, consistency, and reliability across commercial, supply chain, finance, and manufacturing operations
Oversee data quality programs, stewardship networks, and policies that improve global data standards, reduce operational friction, and support digital transformation initiatives
Lead teams that deliver actionable insights, predictive analytics, dashboards, and modeling solutions that support strategic and operational decision-making
Collaborate with business leaders to define analytic use cases—such as demand forecasting, inventory optimization, pricing analytics, customer segmentation, procurement efficiency, and operational performance management
Drive adoption of self-service analytics across business teams and cultivate a culture of data fluency and fact-based decision-making
Serve as the primary liaison between business teams and IT for enterprise data and analytics initiatives
Build strong relationships with commercial, operational, manufacturing, supply chain, and financial leaders to shape and prioritize the data and analytics portfolio
Collaborate with Executive Leadership, IT, & functional leadership to ensure alignment across initiatives
Lead change management efforts to drive adoption of new processes, capabilities, and insights—ensuring solutions are practical, business-aligned, and value-focused
Develop and mentor a high-performing team across analytics, data engineering, master data, and governance
Oversee BI platform architecture, data models, semantic layers, and governed workspaces
Guide the evolution of enterprise data platforms (data warehouse/lake, ETL/ELT pipelines, MDM hubs)
Evaluate and drive adoption of modern data technologies (e.g., SAP MDG, Informatica, Snowflake, Databricks, Fabric)
Ensure systems support both operational reporting and advanced analytics, including AI/ML initiatives
Ensure compliance with regulatory, privacy, and security requirements (GDPR, CCPA, etc.)
Develop governance controls that reduce business risk, maintain audit readiness, and protect critical operational and customer data
Monitor emerging trends in BI, AI/ML, data governance, and advanced analytics relevant to manufacturing and distribution
Lead pilots and proof of value initiatives to improve productivity, product quality, customer insight, and digital efficiency
Foster a culture of innovation, continuous improvement, and data-driven experimentation
Requirements:
Bachelor’s degree in Business, Information Systems, Data Science, or related field required
7–10+ years of progressive experience in data analytics, business strategy, digital transformation
Leadership experience guiding enterprise business intelligence or analytics teams
Experience working in an industrial manufacturing or similar operationally complex environment strongly preferred
Proven track record influencing senior leaders and delivering measurable business impact through data-driven initiatives
Exceptional executive communication, relationship building, and strategic influence skills
Ability to translate technical concepts into business language and value narratives
Strong analytical mindset with proven business acumen
Effective project leadership, prioritization, change management, and stakeholder alignment abilities
Expertise in BI strategy, Power BI, analytics solutions, and data visualization best practices
Strong knowledge of data governance, master data management, and data quality frameworks
Proficiency with modern data platforms (Snowflake, Databricks, Fabric, SAP MDG, Informatica) and integration/ETL concepts
Understanding data modeling, semantic layers, and analytics enablement
Nice to have:
Master’s degree preferred
Driving master data programs preferred
What we offer:
Bonus Eligible: 20%
Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
Eligible for Flexible Time Off
401(k): 3% company contribution and additional 3% company match