Manager of Data & Analytics
- Compensation
- Not disclosed
- Location
- Louisville, Kentucky, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- 10+ years of progressive experience in data management, governance, analytics, or related disciplines, with at least 3 years in a leadership role managing teams and budgets.
- Demonstrated experience building and leading an enterprise data governance program, including defining governance roles, policies, operating models, and stewardship networks.
- Proven track record of delivering enterprise analytics or BI capabilities that drove measurable business outcomes.
- Experience designing or overseeing metadata frameworks, including business glossaries, taxonomies, or controlled vocabularies.
- Experience coordinating or leading data stewardship activities across multiple domains or business units.
- Background in manufacturing, operations, or supply chain data environments strongly preferred (aligning with ISCO's context around fabrication, labor tracking, BOMs, SKU management, etc.).
- Experience with modern data platforms and BI tools (e.g., Power BI, Snowflake, Databricks, Microsoft Fabric).
- Strong understanding of data integration, metadata management, data architecture, and data management frameworks (DAMA-DMBOK, etc.).
- Experience evaluating, selecting, and implementing data cataloging and data quality tools.
- Executive presence with the ability to present data strategy, business cases, and program outcomes to senior leadership.
- Ability to lead cross-functional teams with strong communication, influence, and change management skills.
Nice to have
- Experience leading data strategy through an ERP modernization (IFS, Infor M3, SAP).
- Experience with Microsoft Fabric and the modern Microsoft data stack.
- Hands-on or management experience with AI/ML model development, MLOps, or advanced analytics programs.
- Familiarity with operational real-time data environments (IoT, sensors, fabrication reporting, OT/IT convergence).
- Experience building a D&A team from the ground up in a midsize organization.
- Experience establishing AI governance frameworks (model validation, bias, explainability).
Full description
The Manager of Data & Analytics will serve as the senior leader accountable for ISCO's enterprise data strategy, governance program, analytics capabilities, and AI/ML roadmap. This role owns the end-to-end data value chain — ensuring data is governed, trustworthy, accessible, and actively leveraged to drive operational excellence, strategic decision-making, and competitive advantage.
ISCO is at the early stages of its data maturity journey. The Manager will be expected to stand up foundational governance and data quality capabilities while simultaneously charting the longer-term vision for analytics, AI, and data-driven transformation. This requires a leader who can operate at both the strategic and tactical levels — someone who can present a data strategy to the executive team and also roll up their sleeves to define metadata standards, select tooling, and work through data quality issues on the plant floor.
As a midsize organization, ISCO requires this leader to combine the strategic oversight of a data executive with the hands-on capabilities of a governance architect and lead data steward, particularly in the program's early phases. As the team and program mature, the Manager will shift increasingly toward strategy, stakeholder management, and organizational leadership.
Scope of Accountability
The Manager of Data & Analytics has enterprise-wide accountability spanning:
- Enterprise Data Strategy: Setting the vision, roadmap, and investment priorities for data, analytics, and AI across ISCO.
- Data Governance Program: Owning the governance operating model, policy framework, stewardship network, and metadata standards across all priority domains.
- Master Data Domains: Product, Customer, Supplier, Item/Material, Facilities/Fleet, and Quote data.
- Operational & Manufacturing Data: Fabrication, labor tracking, work orders, Bills of Materials (BOMs), quality management data (QMDs), and OT/IT integration.
- Analytics & AI: Business intelligence, advanced analytics, predictive modeling, and AI/ML initiatives enterprise-wide.
- Cross-Functional Data Integration: Data flowing across operations, sales, quality, finance, and manufacturing systems (ERP, Pipeline, Excel, fabrication systems).
- Team & Capability Building: The Data & Analytics function including data engineers, analysts, stewards, architects, and data scientists.
Key Responsibilities
- Enterprise Data Strategy & Vision
- Define and own ISCO's enterprise data strategy, aligning data investments with business objectives, the Target Operating Model, and the company's multiyear transformation roadmap.
- Establish a clear, prioritized, and funded multi-year roadmap for data governance, architecture, analytics, and AI — with measurable milestones and business outcomes.