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Data Program Manager Jobs in Minnesota (NOW HIRING)

Advanced Energy is seeking an experienced Program Manager to lead the development and launch of advanced power solutions for hyperscale data center customers. This role is responsible for driving ...

Collaborate with the regional managers to understand scale of potential opportunities and capture data within our CRM, helping to prioritize our must-win programs KEY BENEFITS INCLUDE: * 401k * Paid ...

Program Manager

Rochester, MN · On-site

$79K - $99K/yr

... data and issues o Sets meeting objectives, develops agendas and tools to accomplish objective o ... Program Manager may require more oversight to resolve customer issues. Discretion: Erroneous ...

Program Manager Department: Business Performance and Planning Management (BPPM) Status: Full Time - ... Provide necessary data for generating new supply agreements and pricing contracts. * Perform other ...

Program Manager

Osseo, MN · On-site

$157K - $174K/yr

Program Manager Electrical Power Distribution - Results-driven Program Manager with deep industry ... manuals, and technical data packages-while coordinating final logistics and site-delivery ...

Program Manager

Duluth, MN · On-site

$125K/yr

LBI - ADCCI - Compliance Planning & Analytics (CP&A), Data Systems Management (DSM) REVIEW THE ... Specialized experience would include one year of substantive supervisory or program management ...

Program Manager

Osseo, MN · On-site

$157K - $174K/yr

Description Program Manager | Electrical Power Distribution - Results-driven Program Manager with ... manuals, and technical data packages-while coordinating final logistics and site-delivery ...

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Data Program Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data program manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data program 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 is a data program manager?

A Data Program Manager is responsible for overseeing and coordinating data-related projects and initiatives within an organization. They manage teams, set project goals, allocate resources, and ensure that data strategies align with business objectives. Their role often involves working closely with data engineers, analysts, and stakeholders to ensure data quality, compliance, and effective use of data assets. Data Program Managers also monitor project progress, address risks, and ensure the successful delivery of data programs on time and within budget.

What are the key skills and qualifications needed to thrive as a data program manager, and why are they important?

To thrive as a Data Program Manager, you need expertise in data analytics, program management, and a solid understanding of data governance, typically backed by a degree in computer science, information systems, or a related field. Familiarity with project management tools (such as Jira or Asana), data visualization platforms (like Tableau or Power BI), and relevant certifications (e.g., PMP, Agile, or data management certifications) is often expected. Excellent communication, leadership, and stakeholder management skills help drive cross-functional collaboration and align data initiatives with business goals. These competencies are crucial for successfully delivering data-driven projects, ensuring data integrity, and maximizing organizational value from data assets.

What are some common challenges data program managers face when coordinating cross-functional data projects?

Data Program Managers often encounter challenges such as aligning priorities across different teams, ensuring data quality and consistency, and managing dependencies between technical and business stakeholders. Effective communication and stakeholder management are essential, as projects typically involve collaboration among data engineers, analysts, product managers, and executives. Balancing the need for timely delivery with rigorous data governance standards is another key challenge, requiring strong organizational and problem-solving skills.

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

AspectData Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Business, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; often no formal certifications required
Work EnvironmentOversees multiple projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare for managing data initiativesCommon across industries for data insights and reporting

The Data Program Manager focuses on overseeing data projects and managing teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong data skills, but the Program Manager has a broader scope involving project management and strategic planning.

What are popular job titles related to Data Program Manager jobs in Minnesota?

For Data Program Manager jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Data Program Manager job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Data engineering program manager

Tata Consultancy Service Limited

Moundsview, MN • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Lead end-to-end delivery of enterprise data engineering and analytics programs.

  • Partner with business and IT leaders to define enterprise data strategies and oversee platform modernization and cloud migration initiatives.

  • Manage global teams and coordinate Agile delivery across multiple workstreams to ensure successful project execution and transition to steady-state operations.


Job description

Must Have Technical/Functional Skills
Snowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.
Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.
Cloud Platforms: AWS preferred; Azure and GCP exposure beneficial.
Data Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.
Data Management: Data Modeling, Data Governance, Master Data Management, Data Quality.
Certifications & Domain Knowledge
PMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.
Snowflake certification and/or Databricks certification.
AWS/Azure Solution Architect certification.
Experience leading AI/GenAI-enabled data programs.
Experience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.
Roles & Responsibilities
Program Leadership
Lead end-to-end delivery of enterprise data engineering and analytics programs.
Define program roadmap, milestones, dependencies, risks, and governance structures.
Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.
Drive executive-level status reporting and steering committee governance.
Data Platform Strategy
Partner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.
Oversee platform modernization, data lakehouse, and cloud migration initiatives.
Ensure alignment between business objectives, architecture standards, and technology roadmaps.
Delivery Management
Coordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.
Manage Agile delivery across multiple workstreams.
Track program KPIs including schedule, financials, quality, productivity, and business outcomes.
Ensure successful transition from project implementation to steady-state operations.
Stakeholder Engagement
Serve as the primary liaison between business leaders, data teams, architecture groups, and external partners.
Facilitate steering committee reviews and executive presentations.
Drive decision-making and issue resolution across organizational boundaries.
Data Governance & Compliance
Ensure compliance with enterprise data governance standards.
Oversee data quality, metadata management, security, privacy, and regulatory requirements.
Drive adoption of data cataloging and lineage frameworks.
Financial & Vendor Management
Manage program budgets and forecasts.
Oversee vendor performance and contractual deliverables.
Track business value realization and ROI for data initiatives.
Innovation & Continuous Improvement
Identify opportunities to leverage AI/GenAI, automation, and advanced analytics.
Promote engineering best practices and operational excellence.
Drive platform optimization, FinOps, and cost governance initiatives.
Generic Managerial Skills, If any
Program delivery within budget and schedule.
Business value realization from data initiatives.
Data platform adoption and user satisfaction.
Reduced time-to-insight and improved analytics capabilities.
Improved platform reliability, scalability, and cost efficiency.
Successful governance and regulatory compliance adherence.
Salary Range: $150,000 -$180,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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