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Data Strategy Manager Jobs in Minnesota (NOW HIRING)

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... strategies (dev, test, prod) to support reliable and repeatable delivery • Review and guide data ... metadata management, and appropriate data access • Partner with business and technical ...

... data strategy to improve data reliability, accessibility, and business value across the organization. This role defines how data is governed, managed, and used to enable enterprise operations ...

... data strategy to improve data reliability, accessibility, and business value across the organization. This role defines how data is governed, managed, and used to enable enterprise operations ...

Chief Data Officer

Eden Prairie, MN · On-site

$225 - $375/hr

... data strategy to improve data reliability, accessibility, and business value across the organization. This role defines how data is governed, managed, and used to enable enterprise operations ...

New

Senior Manager, Data Products

Maple Grove, MN · On-site

$125.80 - $239/hr

The Senior Manager, Data Products role owns the vision and roadmap for our Snowflake-based ... Strategic Leadership & Innovation * Develop and drive the Cardiology Business Intelligence data ...

Showing results 21-40

Data Strategy Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data strategy manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data strategy manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 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 are the most commonly searched types of Data Strategy jobs in Minnesota? The most popular types of Data Strategy jobs in Minnesota are:
What cities in Minnesota are hiring for Data Strategy Manager jobs? Cities in Minnesota with the most Data Strategy Manager job openings:
Infographic showing various Data Strategy Manager job openings in Minnesota as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Director, Enterprise Data Management & Analytics

Community Reinvestment Fund, USA

Minneapolis, MN • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Director, Enterprise Data Management & Analytics
  • Posted on June 18, 2026
About the Position

The Director of Enterprise Data Management & Analytics provides strategic and operational leadership over CRF’s enterprise data ecosystem, analytics infrastructure, and reporting capabilities. This role owns the vision and execution of data strategies across CRF’s technology environment and serves as the organization’s primary authority on data governance, data quality, and analytics modernization.

The Director leads and develops an Enterprise Data Management team and functions as a cross-functional partner to Technology, Lending Operations, Finance, Compliance, and Executive leadership. This position is the primary driver of CRF’s data management strategy and other data infrastructure investments.

The successful candidate will combine deep technical expertise in data engineering and analytics with the executive presence to communicate complex data concepts to board members, investors, and regulators. This individual must be a proactive, mission-aligned leader who thrives at the intersection of technology, operations, and community development finance.

Key Responsibilities & Accountabilities Data Strategy & Governance
  • Develop, implement, and continuously refine CRF’s enterprise data strategy, governance framework, and data management roadmap aligned to the organization’s strategic plan.
  • Own the Enterprise Business Glossary, data stewardship policies, and data quality standards across all enterprise systems.
  • Lead the design and maintenance of CRF’s master data management approach, including cross-system field-level mapping, data dictionaries, and migration gap registers.
  • Champion a data-as-an-asset culture across the organization through education, documentation, and internal advocacy.
Analytics & Reporting
  • Oversee the enterprise data warehouse (CRFDW) built on Azure Databricks and Power BI, ensuring reliable ETL pipelines, performant data models, and accurate, publication-ready reporting.
  • Direct the development and maintenance of executive dashboards, board-level reporting packages, investor reporting, regulatory compliance reports (including OFN, SBA performance, and CDFI fund reporting), and ad hoc analytical deliverables.
  • Partner with Credit, Finance, Portfolio & Platform Management, and Lending Operations leadership to translate business questions into analytical frameworks and actionable insights.
  • Evaluate and implement emerging analytics capabilities, including AI/ML assisted reporting and predictive modeling tools appropriate to CRF’s scale and infrastructure.
Systems & Technology Leadership
  • Serve as the primary project data lead for technology initiatives, including vendor evaluation, contract execution, cross-system data migration planning, and implementation oversight.
  • Manage data integrations across CRF’s five-system environment: lead management, CRM, origination and underwriting, loan servicing, and CRFDW.
  • Evaluate, select, and manage third-party data tools and platforms, balancing cost, capability, and organizational fit.
Team Leadership & Cross-Functional Partnership
  • Lead, mentor, and develop an Enterprise Data Management team, including hiring, performance management, and professional development planning.
  • Serve as the primary technical project manager for data-adjacent initiatives across the organization, including data migrations, new system rollouts, and reporting infrastructure upgrades.
  • Collaborate with CRF Business lines to define data requirements, streamline data flows, and resolve data quality issues.
  • Present complex data findings, project status, and strategic recommendations to the Executive Team and Board of Directors.
Compliance & Administration
  • Ensure all data management practices comply with applicable regulatory requirements, including SBA program requirements, CDFI Fund reporting obligations, and investor data covenants.
  • Maintain documentation standards and internal data governance artifacts, including data lineage, data classification, and access control policies.
About You
  • Bachelor’s degree required; advanced degree in Information Systems, Data Science, Business Analytics, Computer Science, Finance, or a related field preferred.
  • Minimum 8–10 years of progressive data management, analytics, or data engineering experience, with at least 3 years in a senior leadership or management role.
  • Demonstrated experience leading enterprise technology implementations, including system selection, vendor management, data migration planning, and go-live execution.
  • Prior experience in community development finance, financial services, or a similarly regulated lending environment is strongly preferred.
  • Proven ability to build and manage enterprise data platforms in Azure (Databricks, Data Lake, ADF) with Power BI as the reporting layer.
  • Experience with CRM systems (Dynamics 365 preferred), loan origination or servicing platforms, and SaaS ecosystem integrations.
  • Track record of successfully managing and developing technical teams in a fast-paced, resource-constrained environment.
Key Competencies & Preferences
  • Excellent verbal and written communication skills; ability to tailor messaging to technical and non-technical audiences including board members, regulators, and external investors.
  • High degree of intellectual curiosity and comfort working with ambiguous, incomplete, or complex data environments.
  • Proficiency in SQL, Python, and Power BI required; experience with Excel/VBA, PowerApps, or low-code automation tools a plus.
  • Strong project management skills; ability to lead multiple concurrent initiatives and deliver results with minimal supervision.
  • Commitment to CRF’s mission of economic equity and community development; experience working with mission-driven or nonprofit organizations preferred.
  • Belief in and practice of CRF’s Diversity, Equity and Inclusion philosophy.

Candidates must reside in and be authorized to work in the United States without sponsorship.

CRF is headquartered in Minneapolis, Minnesota. For a more detailed description of the incredible work we do, how we do it, and who we are, please visit www.crfusa.com.

Community Reinvestment Fund, USA is an equal opportunity lender, provider, and employer.

What We Offer
  • Most positions offer flexibility for remote work
  • Health, dental, and vision insurance
  • 401K with a 5% match – eligible to participate after 6 months
  • Paid Time Off (PTO)
  • Hybrid Reimbursement Program
  • Educational Assistance
  • Long-Term and Short-Term Disability
  • Life Insurance
  • 10 Federal Holidays plus 2 Floating Holidays
How to Apply

To apply for this or other positions, please send your resume to: recruiting@crfusa.com

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