Enterprise AI and Analytics Leader

Tennant Company; Eden Prairie (MN); On-site; USD 139,000 - 223,000; Full time

Benefits offered by this job

401(k) match

Paid vacation

Wellness rewards

Life insurance

Job summary

Tennant Company is seeking a Senior Manager, Enterprise AI and Analytics Leader to define and execute the enterprise AI, data strategy, and governance. You will lead the Enterprise AI Center of Excellence, establishing governance, platforms, standards, and adoption strategies for scalable AI and analytics across the organization.

You will work with executives to align investments with business priorities, drive digital transformation, and deliver measurable outcomes across manufacturing,

Qualifications

• 15+ years of IT, data platforms, or enterprise architecture experience.
• 5+ years leading enterprise AI, ML, or Data Science initiatives.
• Experience delivering large-scale cloud and AI transformation programs.

Responsibilities

• Define and execute the enterprise AI, data strategy aligned with corporate objectives.
• Develop a multi-year roadmap for BI, predictive analytics, ML, generative AI, and data-driven decision making.
• Establish AI governance, operating models, and responsible AI principles.
• Lead the Enterprise AI Center of Excellence and oversee AI lifecycle management.

Skills

AI strategy

Data governance

Leadership

Tools

Azure AI Foundry

Azure OpenAI

Databricks

Kubernetes

Job description

Location: United States - Eden Prairie, MN

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.

Key Responsibilities

• 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.

Analytics & Business Intelligence

• 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.

AI Governance, Risk & Responsible AI

• Establish enterprise AI governance frameworks and oversight processes.


• Ensure compliance with legal, regulatory, privacy, cybersecurity, and ethical requirements.


• Chair the AI Governance Council and provide executive-level reporting on AI risks and performance.


• Develop policies for responsible AI usage, model monitoring, explainability, and risk management.


• Partner with Legal, HR, Risk, Compliance, and Security teams to ensure effective governance.


• Act as a strategic advisor to business leaders on data and AI opportunities.


• Facilitate business prioritization of data and AI investments.


• Build strong partnerships across Manufacturing, Supply Chain, Commercial, Service, Finance, HR, and Corporate Functions.


• Lead value realization reviews and ensure business outcomes are achieved.


• Promote a culture of data literacy and AI-enabled innovation.

Data & AI Platform Leadership

• Define standards supporting data, analytics, and AI.


• Partner with Enterprise Architecture and Infrastructure teams to establish scalable and secure platforms.


• Drive cloud-based data and AI platform modernization.


• Ensure integration of AI capabilities into core business applications and business processes.


• Manage vendor relationships and strategic technology partnerships.

Organizational Leadership

• Build and lead a high-performing team of data, analytics, and AI professionals.


• Develop enterprise data literacy and AI literacy programs.


• Foster a culture of innovation, collaboration, accountability, and continuous improvement.

Success Measures

Business Impact

• Revenue growth enabled through data and AI


• Productivity and efficiency improvements


• Cost reduction initiatives


• Business process optimization

AI Adoption

• Number of AI solutions deployed


• AI utilization and adoption rates


• Realized business value from AI investments


• Employee AI literacy and engagement

Governance & Risk

• Compliance with data and AI policies


• Reduction of data and AI-related risk


• Audit and regulatory outcomes

Organizational Effectiveness

• Team capability development


• Stakeholder satisfaction
  
• Delivery performance


• Strategic initiative execution

Experience

• 15+ years of experience in IT, software engineering, data platforms, or enterprise architecture.


• 5+ years leading enterprise AI, Machine Learning, or Data Science initiatives.


• Experience dealing with Analytics platforms like SAP and Non SAP solutions


• Experience delivering large-scale cloud and AI transformation programs.


• Proven success influencing executive stakeholders and driving cross-functional initiatives.

Technical Expertise

• Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG)


• AI frameworks such as Semantic Kernel, LangChain, CrewAI, AutoGen


• Azure AI Foundry, Azure OpenAI, Azure Machine Learning


• Cloud platforms (Azure preferred; AWS/GCP a plus)


• MLOps, LLMOps, CI/CD, DevSecOps


• Data platforms including Databricks, Fabric and modern data architectures


• API, microservices, containerization, and Kubernetes


• Experience in SAP Joule


• Experience with Analytic platforms like SAP Business Data Cloud, BW, Databricks, Fabric

Preferred Qualifications

• Experience in Manufacturing Industries.


• Experience implementing Responsible AI frameworks.


• Demonstrated thought leadership in AI strategy and enterprise transformation.


• Demonstrated experience in leading and dealing with analytics strategy and execution

Total Compensation = Pay range + Benefits

Posted salary ranges are made in good faith. Tennant Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity. The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits

Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, 8 paid company holidays and 3 personal holidays dental and vision coverage, wellness rewards, robust family support programs, company-paid disability and life insurance, and a full Employee Assistance Program.

Defining Our Employee Value Proposition

At Tennant Company, we…

Discover fulfilling work with opportunities for growth and meaningful recognition.

Drive the quality and innovation our customers rely on in our products and services.

Connect with people who care about each other, our brands and our communities.

These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future.Together, they serve as guideposts for working with our customers, our partners and one another.

Begin your journey with us. Let's reinvent how the world cleans.

Equal Opportunity Employer

Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.