Data Innovation Partner Senior

Position Summary / Career Interest
The Data Innovation Partner Senior is a senior individual contributor who delivers significant, enterprise-visible work within the Data Innovation Partner function — advancing what analytics can do through emerging technology and innovation, and scaling how the enterprise uses analytics through strategic growth in adoption, footprint, and value realization. Together, these accountabilities position data as a foundation for every meaningful decision. This role actively contributes to the enterprise's AI journey, applying responsible AI, machine learning, and emerging analytics practices in initiatives that expand what data can do for patient care, operations, and strategic decision-making.

Position Title
Broadmoor Campus

Position Summary / Career Interest
The Data Innovation Partner Senior is a senior individual contributor who delivers significant, enterprise-visible work within the Data Innovation Partner function — advancing what analytics can do through emerging technology and innovation, and scaling how the enterprise uses analytics through strategic growth in adoption, footprint, and value realization. Together, these accountabilities position data as a foundation for every meaningful decision. This role actively contributes to the enterprise's AI journey, applying responsible AI, machine learning, and emerging analytics practices in initiatives that expand what data can do for patient care, operations, and strategic decision-making.

The Senior Partner independently owns meaningful initiatives from intake through delivery, applying established methodologies, frameworks, and standards set by Lead and Principal Partners. They translate strategy into execution — designing solutions, running experiments and driving adoption activities, measuring outcomes, and sharing lessons learned. As an experienced practitioner, the Senior contributes to team methodology, mentors less experienced Partners, and helps their peer group deliver consistently.

The Senior partners with senior stakeholders and executive-adjacent audiences to translate business problems into analytical solutions. The Senior also embeds data integrity considerations into their work, partnering with the Data Integrity team to uphold enterprise standards. Success in this role is measured by initiative outcomes, quality of work, and growth of the practitioners around them.

Responsibilities And Essential Job Functions

• Delivery & Execution
• Independently own significant initiatives from intake through delivery within the team's scope, applying methodologies, frameworks, and standards set by senior peers.
• Design and deliver innovation experiments and adoption activities that produce measurable outcomes (learning, ROI, utilization, value realized).
• Contribute to the design and delivery of AI, machine learning, and emerging technology initiatives — applying enterprise standards for responsible AI, evaluation criteria, and integration patterns established by Principal Partners.
• Participate actively in team forums (standups, planning, retrospectives); contribute to continuous improvement of team practices.
• Anticipate risks and blockers within initiatives and raise them proactively to Leads/Principals for coordination.
• Contribute to standardizing workflows and reducing cycle time by identifying and sharing repeatable patterns from delivery work.
• Integration & Alignment
• Partner with stakeholders across the organization to translate business needs into innovation experiments and adoption plans, aligned with enterprise strategy and governance standards.
• Coordinate with peer Senior Partners across the function to share methodology, avoid duplication, and align on approach.
• Apply analytical frameworks and evaluation standards to initiatives, inclusive of AI/ML considerations for scale and risk, generative AI use cases and guardrails, and analytics adoption considerations for ROI, user enablement, and value realization.
• Apply responsible AI standards — including data privacy, model transparency, bias awareness, HIPAA/CMS alignment, and human oversight expectations — to AI/ML work.
• Contribute to enterprise programs and initiatives;…