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Remote Enterprise Data Management Jobs in Minnesota

Expleo

Data Management Strategic Planner

Saint Paul, MN · Remote

Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level: Advanced (10+ Years) Are ... Strategic Impact - Help define and influence enterprise data management, governance, analytics, and ...

Syscom, Inc.

Azure Data Architect

Saint Paul, MN · On-site +1

$64.25 - $83.50/hr

SYSCOM is seeking an experienced Azure Data Architect to support a major enterprise cloud ... Remote/Hybrid. Candidates should be available to work onsite in St. Paul, MN, as needed for ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.75 - $82.25/hr

Overview Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time / Contract-to-Hire ... Data Management, or similar enterprise data-focused roles * Extensive experience designing ...

UnitedHealth Group

Data Analyst 2 - Remote

Plymouth, MN · Remote

Data Product Management * Enterprise Data Architecture Concepts *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors ...

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Remote Enterprise Data Management information

What is remote enterprise data management?

Remote Enterprise Data Management refers to the processes and tools used to organize, store, govern, and analyze large volumes of business data from a remote location. Professionals in this field ensure that data is accurate, secure, and accessible to authorized users, even when working from different locations. They use specialized software and cloud-based solutions to manage data assets, enforce data governance policies, and support business decision-making. The role often requires collaboration with IT, analytics, and business teams to implement best practices for data handling and compliance.

What are the key skills and qualifications needed to thrive as a remote enterprise data management professional?

To thrive as a Remote Enterprise Data Management professional, you need expertise in data governance, data modeling, and database management, often supported by a degree in computer science or information systems. Familiarity with data management platforms (like Informatica, Collibra, or Talend), cloud databases (such as AWS, Azure, or Google Cloud), and relevant certifications (e.g., CDMP) is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help ensure smooth collaboration and data integrity. These competencies are vital to maintaining organizational data quality, security, and accessibility in a distributed work environment.

How does a remote enterprise data management professional typically collaborate with cross-functional teams to ensure data consistency across the organization?

Remote Enterprise Data Management professionals often work closely with IT, business analysts, and data governance teams through virtual meetings, collaborative platforms, and shared documentation. They are responsible for establishing data standards, coordinating data integration efforts, and ensuring that data definitions and quality controls are consistent across departments. Regular communication and project management tools are essential for aligning stakeholders and resolving data discrepancies, making strong collaboration skills vital for success in this remote role.

What is the difference between Remote Enterprise Data Management vs Remote Data Analyst?

AspectRemote Enterprise Data ManagementRemote Data Analyst
Required CredentialsData management certifications, SQL, data governanceData analysis certifications, Excel, SQL, visualization tools
Work EnvironmentCross-departmental, strategic focus, data infrastructureBusiness units, reporting, data interpretation
Industry UsageIT, finance, healthcare, large enterprisesMarketing, finance, retail, various industries

Remote Enterprise Data Management involves overseeing data infrastructure, governance, and quality across an organization, focusing on strategic data assets. Remote Data Analysts primarily interpret data, create reports, and support decision-making. While both roles require data-related skills and certifications, Enterprise Data Management emphasizes data governance and infrastructure, whereas Data Analysts focus on data analysis and visualization.

What are the most commonly searched types of Enterprise Data Management jobs in Minnesota?

The most popular types of Enterprise Data Management jobs in Minnesota are:

What are popular job titles related to Remote Enterprise Data Management jobs in Minnesota?

For Remote Enterprise Data Management jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Enterprise Data Management jobs in Minnesota look for?

The top searched job categories for Remote Enterprise Data Management jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Enterprise Data Management jobs?

Cities in Minnesota with the most Remote Enterprise Data Management job openings:

Remote Enterprise Data Management jobs near you

Data Management Strategic Planner

Expleo

Saint Paul, MN • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview

Location: Fully Remote (St. Paul, MN)

Employment Type: Full-TimeExperience Level: Advanced (10+ Years)

Are you passionate about helping organizations unlock the power of data, analytics, and AI? Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management capabilities, and influence enterprise-wide data strategy. If you enjoy bridging business and technology while driving measurable outcomes, this could be the perfect next step in your career

What's in It for You?

  • Strategic Impact - Help define and influence enterprise data management, governance, analytics, and AI initiatives
  • Cross-Functional Leadership - Partner with business leaders, data teams, project managers, analysts, and technical stakeholders across the organization
  • Innovation Exposure - Contribute to initiatives involving analytics, machine learning, natural language processing, data architecture, and decision modeling
  • Remote Flexibility - Enjoy the benefits of a fully remote work environment while collaborating with high-performing teams
  • Thought Leadership Opportunity - Promote data literacy, governance best practices, and data-driven decision-making across the enterprise
  • Professional Growth - Expand your expertise across data management, business strategy, analytics, governance, and emerging technologies

Your Role & Responsibilities

  • Develop and support strategic data management initiatives that align with business goals and enterprise priorities
  • Collaborate with stakeholders to identify opportunities where data, analytics, AI, and automation can create measurable business value
  • Facilitate workshops, discovery sessions, and stakeholder discussions to gather requirements and drive alignment
  • Help establish and promote data governance practices including master data management (MDM), data stewardship, and data quality initiatives
  • Support the creation of business cases that justify investments in data and analytics programs
  • Work closely with project managers to align business expectations, project objectives, and delivery capabilities
  • Partner with business analysts and technical teams to prioritize and evaluate use cases
  • Contribute to decision modeling efforts that improve organizational decision-making and support complex business trade-offs
  • Influence data literacy initiatives through storytelling, presentations, and stakeholder engagement
  • Assist in defining and communicating enterprise data architecture concepts including data warehouses, data lakes, and data hubs
  • Collaborate with design and user experience teams to ensure data products and visualizations are intuitive and effective
  • Present recommendations, insights, and strategic plans to both technical and non-technical audiences

Skills & Experience You Should Possess

  • 10+ years of experience in data management, data strategy, analytics, business intelligence, data governance, or a related field
  • Strong understanding of analytics methodologies, including descriptive, diagnostic, predictive, and prescriptive analytics
  • Knowledge of artificial intelligence concepts including machine learning, graph analytics, and natural language processing
  • Experience with data management disciplines including ETL, metadata management, data integration, and governance frameworks
  • Understanding of enterprise data architecture concepts, including data warehouses, data lakes, and data hubs
  • Knowledge of structured, semi-structured, and unstructured data environments
  • Experience supporting data governance initiatives including MDM, data quality, and stewardship programs
  • Strong statistical knowledge, including understanding correlation versus causation
  • Experience participating in or supporting project delivery initiatives
  • Business case development experience with demonstrated ability to articulate business value
  • Exceptional communication, facilitation, and presentation skills
  • Ability to influence stakeholders and build effective relationships across technical and business teams
  • Strong storytelling skills with the ability to translate complex concepts into clear business narratives
  • Proven collaboration and teamwork experience across multidisciplinary teams

Bonus Points If You Have

  • Experience with SQL, Python, R, or similar programming languages
  • Familiarity with notebooks and analytical development environments such as RStudio
  • Experience with Informatica, Talend, or comparable data integration platforms
  • Hands-on experience with business intelligence tools such as Microsoft Power BI or Tableau
  • Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson Studio
  • Experience supporting enterprise AI and advanced analytics programs
  • Background working within large-scale enterprise data modernization initiatives

Education & Certifications You Need

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, Business, or a related field
  • Advanced degree preferred
  • Relevant certifications in Data Management, Analytics, Data Governance, Project Management, or Cloud/Data Platforms are highly desirable

What We Offer

At Trissential, we value innovation, collaboration, and the ability to make an impact. When you join our client's team, you'll have the opportunity to work on strategic initiatives that shape the future of data-driven business decision-making.

  • Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $144,000-$154,000 annually or $86-$96 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
  • Paid Holidays and Paid Time Off
  • Career Development and Advancement - Expleo is a global company in 29 Countries worldwide with a high focus on development
  • Strong Team Culture - Collaborate with experienced professionals who value precision, performance, and teamwork

This role is only open to candidates who are authorized to work in the United States

Ready to be part of something exciting?

If you're passionate about helping organizations leverage data as a strategic asset and want to influence the future of data management, analytics, and AI, we'd love to hear from you. Apply today and take the next step in your career with Trissential

Employment Type: OTHER

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