The Engagement Lead will enhance the client's BI platform and assist in data governance, conducting gap analyses, and developing implementation plans.
This is a remote position.
The Engagement Lead will help the client's BI platform advance in the maturity curve and assist COE team on their goal of effectively managing new developments and maintenance going forward. The client and Comerit will work together to build a governance platform to make analytic assets searchable and establish a process to facilitate data integration with data available in Marketplace. The person in this role will perform Gap Analysis against industry standards and frameworks, Develop Implementation Plan, and a High level approach for change management and training.
You will Review and analyze or develop the following documents/artifacts:
-Criteria for determination of authoritative data domains
-Data domain inventories
-Data governance organization charts, operating structure, roles, and responsibilities, RACI matrix
-Process design artifacts and procedure guides
-Data review and approval process
-Data management policies and standards
-Process for defining and maintaining standard data models, definitions, classifications and taxonomies
-Metadata repository with required structural, descriptive and administrative attributes
-Metadata record identifying the data consumer(s) of a data element (including third party)
-Current security practices to protect sensitive information"
Requirements
- 5-10 years Data Governance project experience and lead role driving data governance at clients
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development and execution of a national and regional hematology thought leader engagement strategy. Build and maintain KOL relationships, gather and synthesize insights to inform commercial strategy, coordinate speaking and advisory programs, track engagement metrics, ensure compliance, support congress planning, and collaborate across marketing, medical, and cross-functional teams to drive the hematology franchise.
Big Data • Healthtech
Lead onboarding, configuration, and adoption for OpenBeds and Crisis across state behavioral health networks. Create organizations and users, train end users, act as primary onboarding concierge, drive engagement strategies and KPIs, escalate risks, partner with state agencies, and explore AI/automation to improve workflows.
Top Skills:
ChatgptCopilotCrisisOpenbeds
Artificial Intelligence • Energy • Industrial • Infrastructure as a Service (IaaS)
Lead and scale community engagement for utility-scale energy and data center projects. Manage a team, design outreach and stakeholder strategies from siting through operations, build local partnerships, represent the company at public meetings, oversee community investment agreements, and translate local insights into cross-functional project decisions to mitigate social, regulatory, and reputational risk.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



