Manager of Data & Analytics

ISCO Industries, Inc.•Louisville, KY

10h

About The Position

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.

Requirements

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 Haves

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).