Data Management Strategic Planner

Expleo•Saint Paul, MN

1d•$144,000 - $154,000•Remote

About The Position

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. This role is for individuals passionate about helping organizations unlock the power of data, analytics, and AI, and who enjoy bridging business and technology while driving measurable outcomes.

Requirements

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.
Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, Business, or a related field.

Nice To Haves

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.
Advanced degree preferred.
Relevant certifications in Data Management, Analytics, Data Governance, Project Management, or Cloud/Data Platforms are highly desirable.

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.