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MSA BOURGOGNE Logo MSA BOURGOGNE · IT - Administration

Director, Data Analytics & Governance

United States, Denver 195000.00 - 225000.00 USD / Year · Job Posted February 19, 2026
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Job Description

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
  • Tuition Reimbursement
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