Enterprise AI and Analytics Leader

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Pay: $139,400 - $223,200

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected.

The Senior Manager, Enterprise AI and Analytics Leader is responsible for defining and executing the enterprise strategy for artificial intelligence, data, analytics and governance. This leader will transform data into a strategic enterprise asset, enabling business growth, operational excellence, innovation, and competitive advantage. The role serves as the leader of the Enterprise AI Center of Excellence (CoE) and is accountable for establishing enterprise-wide capabilities, governance, platforms, standards, and adoption strategies that enable responsible, scalable, and value-driven use of AI, Analytics and data.

Working closely with business leaders, technology teams, and executive leadership, this position drives the organization's data and AI agenda by aligning investments to business priorities, accelerating digital transformation, and delivering measurable business outcomes.

Enterprise Data & AI Strategy

Define and Execute the enterprise AI & analytics, data strategy aligned with corporate objectives.

Develop a multi-year roadmap that advances business intelligence, predictive analytics, machine learning, generative AI, and data-driven decision making.

Identify opportunities to leverage data and AI to improve customer experience, operational efficiency, revenue growth, and innovation.

Advise executive leadership on emerging trends, risks, and opportunities related to data and artificial intelligence.

Establish success metrics and value realization frameworks for all major initiatives.

Artificial Intelligence & AI Center of Excellence

Lead the Enterprise AI Center of Excellence.

Develop and execute the enterprise AI roadmap and use‑case portfolio.

Establish AI governance, operating models, and responsible AI principles.

Identify and prioritize high-value AI opportunities across all business functions.

Oversee deployment and scaling of generative AI, machine learning, intelligent automation, and advanced analytics solutions.

Establish standards for AI development, model management, prompt engineering, and AI lifecycle management.

Ensure AI initiatives deliver measurable business value and align with strategic priorities.

Partner with Data Governance & Management to

Establish enterprise data governance policies, standards, and accountability models.

Lead master data management, data quality, metadata management, and data stewardship programs.

Ensure data is managed as a strategic enterprise asset.

Develop enterprise data architecture and information management standards.

Partner with business leaders to improve data ownership, accountability, and trust.

Lead enterprise reporting, analytics, and business intelligence capabilities.

Drive adoption of self‑service analytics and data‑driven decision making.

Establish standards for reporting, dashboards, KPIs, and performance management.

Ensure business leaders have timely access to trusted and actionable information.

Advance predictive and prescriptive analytics capabilities across the enterprise.

Establish enterprise AI governance frameworks and oversight processes.

Ensure compliance with legal, regulatory, privacy, cybersecurity,…