Data Innovation Partner Senior
Overview
Data Innovation Partner Senior at The University of Kansas Health System in Kansas City Missouri onsite payroll leads enterprise analytics transformation scaling AI and machine learning initiatives while fostering data‑driven decision making.
What You'll Do11
- 1Deliver independent initiatives from intake to delivery applying methodologies and standards set by senior peers.
- 2Design and execute innovation experiments producing measurable outcomes such as learning ROI and utilization value.
- 3Partner with stakeholders across the organization to translate business needs into adoption plans aligned with enterprise strategy.
- 4Coordinate with peer Senior Partners to share methodology avoid duplication and align on approach.
- 5Apply responsible AI standards including data privacy model transparency bias awareness HIPAA CMS alignment and human oversight to AI/ML work.
- 6Maintain depth in a specialty area serving as the trusted go‑to resource for the peer group and refine approaches based on delivery experience.
- 7Mentor less experienced Partners through coaching pairing and knowledge sharing.
- 8Represent initiatives and specialty in cross‑functional planning stakeholder forums and support Lead and Principal Partners in preparing communications.
- 9Contribute to enterprise data literacy and AI literacy by translating specialty depth into accessible guidance for clinicians operational leaders and analytics peers.
- 10Identify integrity risk or readiness considerations within work and escalate to Lead/Principal or Data Integrity partners as needed.
- 11Stay current with AI machine learning and emerging analytics developments relevant to the specialty area and bring learnings back to the team.
Requirements6
- 1Bachelor’s degree in Business Innovation Data Science Computer Science Engineering Health Administration Organizational Development Adult Learning or Communications or equivalent years of experience.
- 27 or more years in analytics coding development analytics enablement or organizational change tied to data and technology or equivalent experience.
- 35 or more years in each of applying ROI analysis performance indicators and impact metrics; supporting performance improvement process optimization business transformation or project management; 3 or more years in each of applying BI tools supporting adoption and measuring analytics ROI; serving as recognized subject matter contributor in innovation analytics adoption or related specialty.
- 42 or more years in each of using portfolio and work management tools developing adoption and enablement metrics serving as subject matter expert in innovation analytics adoption or related specialty; 3 or more years partnering with data quality lineage metadata governance concepts as part of analytics initiatives.
- 5Preferred: Master’s degree in Business Administration Health Administration Data Analytics or related field; EPIC Cogito Fundamentals COG170; Epic Cogito Project Manager COG300; LEAN certification; Complete Epic SQL I and II coursework; advanced role‑aligned learning paths with at least 50 hours annually within 1 year; Innovation Track: Agile Scrum Master; Advisory & Adoption Track: APMG Change Management Foundation or equivalent; Knowledge: SQL proficiency Python R cloud data platforms foundational AI machine learning or responsible AI credential; 2+ years applying AI/ML to analytics initiatives; 3+ years working with healthcare data ecosystems Epic Caboodle HIPAA CMS; Advanced technical credential aligned to team assignment; Healthcare environment experience; Data observability metadata lineage Epic analytics familiarity; Governance council participation; Formal change‑management training.
- 6Required Licensure and Certification: Epic Cogito Fundamentals (COG170), Epic Cogito Project Manager (COG300), LEAN certification, complete Epic SQL I and II, advanced role‑aligned learning paths, Innovation Track, Advisory & Adoption Track, SQL proficiency, Python/R, cloud data platforms, foundational AI/ML credential, healthcare data experience, data observability, metadata management, Epic analytics familiarity, governance council participation, formal change‑management training.
Salary Insight
Salary not disclosed in listing
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