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Data Strategy Manager Jobs in Sheboygan, WI (NOW HIRING)

Oversee project management, solution architecture, data strategy, and process standardization aligned to S/4 best practices * Manage multi-year program financials including budget, forecasting, and ...

Oversee project management, solution architecture, data strategy, and process standardization aligned to S/4 best practices * Manage multi-year program financials including budget, forecasting, and ...

Sr. Director, ERP Transformation

Kohler, WI · On-site

$205.90 - $334.60/hr

Oversee project management, solution architecture, data strategy, and process standardization aligned to S/4 best practices * Manage multi-year program financials including budget, forecasting, and ...

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... strategies, collaborating with agency and vendor partners, analyzing performance data, and ... Experience managing multiple marketing initiatives while balancing competing priorities and ...

... strategies, collaborating with agency and vendor partners, analyzing performance data, and ... Experience managing multiple marketing initiatives while balancing competing priorities and ...

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Data Strategy Manager information

See Sheboygan, WI salary details

$30.9K

$96.8K

$171.4K

How much do data strategy manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data strategy manager in Sheboygan, WI is $96,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

What does a data strategy manager do?

A data strategy manager develops and oversees an organization’s data vision, ensuring data collection, management, and analysis align with business goals. They create data governance policies, collaborate with teams to implement data initiatives, and often use tools like data warehouses and analytics platforms to support decision-making.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are some common challenges data strategy managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

What are the key skills and qualifications needed to thrive as a data strategy manager?

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.
What cities near Sheboygan, WI are hiring for Data Strategy Manager jobs? Cities near Sheboygan, WI with the most Data Strategy Manager job openings:

Sr. Director, ERP Transformation

Kohler Co.

Kohler, WI

Full-time

Posted 8 days ago


Job description

Location:Onsite, four days per week - Kohler, WI

Opportunity

Kohler Co. is seeking a Senior Director, ERP Transformation.  This role is a strategic enterprise leader responsible for defining and executing the organization's ERP transformation. Reporting to the VP, IT Enterprise Applications & ERP Transformation, this role requires a balance of strategic thinking, business partnership, organizational leadership, and hands-on execution oversight.

Role Summary

The Sr. Director, ERP Transformation will lead a multi-year, enterprise-wide transformation from SAP ECC to a to be selected ERP solution. This leader is accountable for end-to-end program execution across Supply Chain, Manufacturing, and Finance while ensuring delivery of measurable business value, standardized processes, and a modern digital core.

Critically, this role will build the organizational capability, leadership bench, and operating model required to deliver the transformation, establishing a high-performing, cross-functional team that bridges business and IT to drive adoption at scale.  

As a trusted and strategic business partner to Kohler's Global Supply Chain function - including Manufacturing, Procurement, and Supply Chain - this leader will ensure that technology investments deliver measurable business value, operational excellence, and scalability across the global enterprise.

Key Responsibilities

Transformation Leadership & Delivery

  • Lead end-to-end transformation strategy, roadmap, and execution across ERP domains
  • Represent IT in the Transformation Management Office and partner with executive stakeholders across Supply Chain, Manufacturing, and Finance to align on priorities, trade-offs, and outcomes Drive business value realization (e.g., working capital improvement, inventory optimization, cost-to-serve reduction)
  • Establish and enforce program governance, including steering committee cadence, KPIs, and decision frameworks
  • Lead system integrators and vendors, ensuring accountability, delivery quality, and commercial discipline
  • Oversee project management, solution architecture, data strategy, and process standardization aligned to S/4 best practices
  • Manage multi-year program financials including budget, forecasting, and benefits realization

Talent Strategy & Organizational Development  

  • Design and stand up the transformation operating model, including clear role definitions, decision rights, and governance across business, IT, and partners. Assess current organizational capability across process, data, technology, and change leadership; identify gaps and define targeted talent actions (hire,develop, augment)
  • Staff and secure top talent in mission-critical roles, including business process owners, workstream leads, data leadership, testing, and change management. Build and lead a high-performing, cross-functional transformation team, ensuring strong alignment between business and IT leadership
  • Partner with HR and executive leadership to: 
    • Define role expectations and capacity plans
    • Support talent selection and succession planning
    • Align performance management and incentives to transformation outcomes
  • Develop internal ERP, process, data, and change leadership capability, reducing long-term dependency on system integrators and external partners
  • Establish knowledge transfer and capability-building mechanisms across all phases of the program

Change Leadership & Adoption

  • Champion organizational change, ensuring business readiness, training effectiveness, and sustained adoption
  • Build and mobilize a change champion network across functions and geographies
  • Drive mindset shift from customization to standardization and enterprise process ownership
  • Equip functional and plant leaders to lead their teams through significant process and system change
  • Identify resistance and proactively intervene with targeted engagement strategies

Organizational Effectiveness & Culture

  • Foster a "one program" culture across business functions, IT, and external partners
  • Drive clarity, accountability, and decision velocity across a complex stakeholder environment
  • Establish expectations for enterprise thinking, data ownership, and process discipline
  • Build leadership bench strength and succession plans to ensure continuity across the multi-year transformation

Risk & Performance Management

  • Identify and mitigate program, organizational, and talent-related risks proactively
  • Ensure transparency through structured reporting on delivery, adoption, and capability readiness
  • Align talent deployment and capability with each phase of the transformation lifecycle (design, build, deploy, stabilize)

Scope & Impact

  • High visibility with executive leadership and Board-level engagement
  • Enterprise-wide ERP transformation impacting core business operations
  • Multi-year program with significant capital investment  
  • Cross-functional, multi-business, multi-regional scope spanning Supply Chain, Manufacturing, and Finance
  • Direct impact on enterprise capability, operating model, and long-term digital maturity

Business Partnership & Functional Enablement

  • Serve as the primary IT business partner with IT delivery responsibilities for Global Supply Chain functions including Manufacturing, Procurement and Supply Chain, ensuring technology enables process efficiency, compliance, and strategic outcomes.
  • Collaborate with functional leaders to identify opportunities for AI, automation, analytics, and workflow optimization.
  • Ensure that IT roadmaps for enterprise functions are aligned with global priorities and harmonized across divisions.