Data Strategy and Governance Manager

Job not on LinkedIn

🕒 June 30

🏈 Alabama, Arizona, +26 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

💵 $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

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FormativGroup

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

FormativGroup is a B2B technology consulting and implementation firm that helps mid-market and enterprise clients modernize applications, workflows, and data infrastructure. They specialize in data architecture, system integration, application development, workflow automation, SaaS/PaaS ecosystem management, and AI roadmapping to enable governance, migrations, and interoperability across complex environments. FormativGroup serves regulated and enterprise sectors such as insurance, banking, mortgage & lending, wealth management, healthcare, and the public sector, focusing on outcome-based designs and continuous improvement.

📋 Description

• Advise clients on end-to-end solutions across data strategy, data management, and data quality. • Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations. • Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies. • Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs. • Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity. • 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 and provide thought leadership 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.

🎯 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 developing data remediation and data management processes. • Strong leadership skills, including team building, hiring, mentoring, and developing talent in data governance. • Excellent communication, presentation, and PowerPoint skills, with the ability to engage stakeholders at all levels of an organization. • 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.

🏖️ Benefits

• Health insurance • 401(k) • Paid time off • Bonuses • Comprehensive benefits package