Data Strategy and Governance Manager
New
F
FormativGroupTechnology Consulting
This is a remote role with approximately 50% travel. To be considered for this position, candidates must reside in one of the following U.S. states or Washington, DC: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, or Washington, DC.Full-TimeManager
Salary160,000 - 180,000 USD per year
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Job Details
- Experience
- 5-10 years
- Required Skills
- Data managementDatabricks
Requirements
- 5-10 years of experience in data governance, data strategy, and data management consulting.
- Bachelor’s degree in Business, Information Technology, or a related field.
- Experience building roadmaps for data, data management, data governance, data strategy, data quality, and analytics.
- Understanding of data governance and data management tools such as Informatica, Collibra, Alation, DataHub, or similar platforms.
- Experience designing data governance operating models, including governance organizations, roles and responsibilities, and success metrics.
- Understanding of enterprise data concepts such as master data management, enterprise data warehouses, and MDM standards.
- Experience with one or more compliance or regulatory areas, such as BCBS 239, CCPA, GDPR, data privacy, or security standards.
- Certification or working understanding of DAMA / DMBOK principles for data management.
- Experience implementing solutions for monitoring and visualizing metadata for data governance.
- Experience designing data governance programs that support AI, advanced analytics, and AI use-case design.
- Knowledge of modern data platforms, including cloud-native architectures, data lakes, data mesh, and governance products such as Databricks and Microsoft Purview.
Responsibilities
- Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies.
- Design end-to-end data architecture and data flow models that support analytics, AI/ML, and application integration use cases.
- Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs.
- Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments.
- Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization.
- Advise clients as a trusted partner on data governance, data management, cloud transformation, AI readiness, and related best practices.
- Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.
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