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Director For Assessment Data Analytics Jobs (NOW HIRING)

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

Rudolph Libbe Group

Data Analytics Lead

Walbridge, OH · On-site

$100K/yr

Founded in 1955, RLG operates as a single-source partner for clients across diverse industries ... Director. -Drive adoption of governed analytics solutions through training, documentation ...

Ithaca College

DATA ANALYTICS ANALYST I

Ithaca, NY · On-site

Supervision This position reports to the Director of Analytics and Special IT Projects. Key ... Create and maintain clear documentation for data models, reports, dashboards, and analytics ...

TechInsights

Data Analytics Manager

Denver, CO · On-site

$140K - $149K/yr

... without direct authority * Commitment to continuous improvement and learning; models a growth ... AI technology may be used to assist in the screening and assessment of applications for this ...

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How much do director for assessment data analytics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for director for assessment data analytics in the United States is $158,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $180,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Director For Assessment Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $158,116 per year, or $76 per hour.

Senior Director Data Analytics & AI

Novi, MI • On-site

Venteon
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Venteonexternal

Full-time

Re-posted 12 days ago

Key responsibilities

  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.

  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.

  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.

Job description


Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation.
Key Responsibilities
  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.
  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.
  • Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data.
  • Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata management, and compliance standards.
  • Oversee modern data architecture initiatives including data platforms, lakehouse environments, real-time integration, and scalable AI-ready ecosystems.
  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.
  • Partner closely with executive leadership, business stakeholders, engineering, and IT teams to identify and deliver data-driven business outcomes.
  • Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines.
  • Establish scalable operating models and best practices for delivering reusable data products and AI capabilities.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.
  • 12+ years of progressive leadership experience within enterprise data, analytics, MDM, and AI organizations.
  • Proven success leading enterprise-scale data transformation and Master Data Management initiatives.
  • Deep understanding of data governance, modern data architectures, and enterprise data platforms.
  • Experience delivering analytics and AI solutions that drive measurable business value.
  • Demonstrated success leading global teams and large-scale transformational programs.
  • Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms is highly preferred.
  • Manufacturing, industrial, aftermarket, or asset-intensive industry experience strongly preferred.
  • Executive presence with the ability to influence and collaborate across all levels of the organization.

What Success Looks Like
  • Improved enterprise data quality, governance, and consistency.
  • Increased adoption and measurable business impact from analytics and AI initiatives.
  • Accelerated delivery of scalable data products and AI capabilities.
  • Enhanced commercial performance, operational efficiency, and customer experience through data-driven decision making.

If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to submit your resume in Microsoft Word format to slewis@venteon.com
We treat all resumes with strict confidentiality. We will always contact you first before submitting your resume to our client(s) for review. If you do not receive correspondence, you are not a fit for this position.
At Venteon our talent acquisition team is proud to provide our clients with the most qualified Accounting & Finance, Engineering, IT and Administrative talent in the industry today.

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