Quick overview
Job description
DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Position Summary
The contractor will design, launch and scale an enterprise data literacy and data culture program for all employees and for partner agencies that want to build data analysis and governance capability. This supports strategic initiatives to enable a data culture and data literacy for every state agency. The program gives every employee a shared baseline in data fundamentals and governance. It adds role-based tracks for analysts, data stewards, managers and executives, and it gives agencies a repeatable model they can adopt on their own.
Key Responsibilities
- Run a data literacy maturity assessment across the client organization and the participating agencies to set baselines by agency and role and to find priority gaps.
- Design a tiered, role-based curriculum:
- Foundational data literacy for all employees.
- Analyst tracks covering SQL and Python Data Analysis, self-service analytics and visualization skills.
- Governance and stewardship tracks for data owners and stewards.
- Leadership tracks on data-informed decision-making and on sponsoring governance.
- Build scalable training content: self-paced e-learning modules for the enterprise learning management system (LMS), instructor-led sessions, hands-on labs, job aids and recorded content.
- Create an agency onboarding toolkit (readiness checklist, adoption playbook and a customizable curriculum) so agencies with governance goals can join in a consistent way.
- Plan and run an enterprise rollout across multiple agencies, with cohorts sequenced by agency readiness and priority.
- Set up an enterprise Data Community of Practice and a data champions network that spans agencies.
- Brief agency leaders and executives to build sponsorship and line up agency data goals with the enterprise governance framework.
- Define program metrics (enrollment, completion, proficiency gains, tool adoption and agency participation) and report them through a dashboard.
- Run train-the-trainer certification and agency staff so they can deliver the curriculum after the engagement ends.
Deliverables
- Enterprise data literacy maturity assessment and gap analysis, by agency and role
- Tiered, role-based curriculum, with self-paced content loaded into the Learning Management System (LMS)
- Agency onboarding toolkit and adoption playbook
- Rollout plan and delivered cohorts across the client organisation and 2 participating agencies with ability to scale across all agencies
- Charters for the Data Community of Practice and the champions network
- Program metrics dashboard and final adoption report
- Train-the-trainer certification package and a roster of certified internal trainers
Required Qualifications
- 7+ years in data literacy, analytics enablement or enterprise technical training, including at least one program delivered at organization-wide scale.
- Instructional design experience (ADDIE, SAM or similar), including building e-learning content for a Learning Management System.
- Working knowledge of data governance concepts (DAMA-DMBOK) and Power BI or a similar BI tool.
- Has rolled out programs across multiple business units or agencies with different maturity levels.
- Strong executive communication, facilitation and change-management skills.
Preferred Qualifications
- Prosci, CDMP, Qlik Data Literacy or a similar certification.
- Experience with state or public-sector multi-agency programs.
- Experience training a unionized workforce.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
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