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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Adoption, Engagement, and Value Measurement, with a strong ability to analyze data trends and develop ROI methods that connect AI initiatives to measurable business outcomes. Proficient in building dashboards and reports that effectively communicate complex metrics to stakeholders.
Highest-signal resume keywords
AI Adoption MeasurementDashboard DevelopmentROI Method DevelopmentData AnalysisKPI Standard Definition
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceMachine LearningData ScienceAnalyticsSoftware DevelopmentKPI LogicMetric DefinitionValue RealizationDigital TransformationTrend Analysis
Soft Skills
Written CommunicationVerbal CommunicationOrganizational SkillsCollaborationNarrative Development
Tools & Technologies
DatabricksDashboard ToolsReporting ToolsData Visualization Tools
Industry Keywords
AI EnablementEnterprise AI MeasurementPrivacy-Safe ReportingGovernance CollaborationBusiness Outcomes
About the role
Key responsibilities & impact- Assist with AI enablement programs and maturation of the enterprise AI measurement framework
- Measure AI adoption, engagement, proficiency, responsible use, value realization, and ROI across multiple AI tools and platforms
- Define structured, reusable ways to measure AI adoption and value across the enterprise
- Establish standard metric definitions and value hypotheses
- Work directly with data, dashboard tools, KPI logic, reports, and visual storytelling
- Turn complex metrics into clear narratives for senior leaders
- Explain analytical methods to practitioners and technical teams
- Drive alignment across business units, IT, governance, privacy, HR, and engineering without formal authority
- Distinguish usage metrics from business outcomes and assess direct, estimated, or proxy value
- Measure proficiency, behavior change, and digital transformation outcomes
- Support privacy-safe reporting, responsible-use metrics, and governance collaboration
- Define common KPI standards across business units
- Build dashboards, scorecards, and reports showing adoption, usage trends, and business value
- Analyze trends and gaps to recommend enablement, governance, and investment actions
- Partner with matrixed stakeholders to define success measures for AI initiatives
- Develop ROI and value methods linked to time saved, throughput, quality gains, reduced errors, avoided risk, and cost savings
- Maintain an enterprise view across multiple tools and use cases
Requirements
What you’ll need- Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, information systems, or a related field, or equivalent experience required
- Less than 2 years of experience in artificial intelligence, machine learning, data science, analytics, software development, or a related field, or equivalent experience required
- Prior experience working with large data sets within an enterprise
- Prior experience and knowledge with AI Readiness, Enablement, AI Adoption, Engagement and Value
- Experience with Databricks highly desired
- Excellent written and verbal communication skills
- Exceptional organizational skillsets
- Ability to define common KPI standards
- Ability to build dashboards, scorecards, and reporting
- Ability to analyze trends and gaps
- Ability to partner across matrixed stakeholders
- Ability to develop ROI/value methods connecting AI to measurable business outcomes
- Ability to maintain an enterprise view across multiple tools and use cases
Benefits
Comp & perks- Medical, dental, and vision care
- Backup dependent care
- Adoption assistance
- Infertility coverage
- Family building support
- Behavioral health solutions
- Paid parental leave
- Paid caregiver leave
- Training programs
- Professional development resources
- Mentorship programs
- Employee resource groups
- Volunteer activities