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Data Management Strategic Planner

Remote / Online - Candidates ideally in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Trissential, LLC
Full Time, Remote/Work from Home position
Listed on 2026-08-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 144000 - 154000 USD Yearly USD 144000.00 154000.00 YEAR
Job Description & How to Apply Below

Overview

Location: Fully Remote (St. Paul, MN)

Employment Type: Full-Time
Experience 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…
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