Dir AI Transformation

Job Description Location: Chicago, Illinois Business Unit: Rush Medical Center Hospital: Rush University Medical Center Department: Enterprise IT Strategy & Plang Work Type: Full Time (Total FTE between 0.9 and 1.0) Shift: Shift 1 Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page ( Pay Range: $63.10 - $94.02 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rushu2019s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. Summary: The Director, AI Transformation provides enterprise level leadership for high priority, high value artificial intelligence and automation initiatives aligned with the organizationu2019s strategic vision. This role leads and governs a cross functional AI delivery team (Tiger Team) responsible for rapidly translating executive priorities into scalable, compliant, and outcome driven AI solutions. This leader partners closely with executive operational and technology stakeholders to architect innovative initiatives that deliver measurable results while executing the RUSH AI Strategy. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures. Other information: Required Job Qualifications: u2022 Bacheloru2019s degree in business, Health Informatics, Data Analytics, Information Systems, or related field u2022 3-5+ years of experience in healthcare IT, analytics, or data driven transformation roles u2022 3+ years in a leadership or program lead role managing cross functional teams u2022 Strong understanding of healthcare data domains (clinical, financial, operational) u2022 Proven experience leading high pressure, executive driven initiatives Preferred Job Qualifications: u2022 Masteru2019s degree in informatics, data science or relevant discipline u2022 Experience leading AI, machine learning, or advanced analytics programs in healthcare u2022 Familiarity with EHR data (e.g., Epic), enterprise data platforms (e.g. Salesforce, Workday), and BI/analytics tools u2022 Knowledge of AI governance, responsible AI frameworks, and model risk management u2022 Agile, Lean, or Six Sigma leadership experience Competencies: u2022 Executive leadership and influence u2022 Data driven decision making and critical thinking u2022 AI/analytics strategy and delivery execution u2022 Risk management and governance u2022 Clear, concise communication under pressure u2022 Strong accountability and ownership mindset u2022 Operates with urgency in ambiguous, high impact situations u2022 Balances speed, innovation, and risk u2022 Hands on leader with strong follow through u2022 Outcome focused and enterprise oriented Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Responsibilities: Tiger Team Leadership & Strategy u2022 Act as a catalyst to accelerate AI deployments, closely working with applications teams. u2022 Lead and coordinate cross functional Tiger Teams (business analysts, data engineers, AI/ML specialists, clinicians, operations, vendors) u2022 Map current state workflows u2022 Investigate high value workflows u2022 Prioritize and sequence work based on enterprise value, and urgency u2022 Serve as escalation point for issues related to data, models, workflows, and adoption AI & Analytics Program Execution u2022 Direct rapid assessments of AI/analytics use cases, including feasibility, risk, data readiness, and expected value u2022 Guide development of AI functional requirements, use case roadmaps, proofs of concept, and production deployments u2022 Ensure alignment with enterprise data strategy, analytics standards, and architectural principles u2022 Oversee model lifecycle activities including validation, monitoring, and performance review Governance, Risk & Responsible AI u2022 Ensure AI and analytics solutions comply with HIPAA, data privacy, security, and healthcare regulatory requirements u2022 Partner with legal, compliance, and cybersecurity teams on AI governance, responsible AI, bias mitigation, and explainability Stakeholder & Executive Engagement u2022 Act as a trusted advisor to clinical, operational, and executive leadership u2022 Translate complex analytics and AI concepts into clear, actionable executive communications u2022 Manage expectations, tradeoffs, and timelines in high visibility initiatives Performance, Outcomes & Value Realization u2022 Define KPIs, success metrics, and benefits realization plans for AI and analytics initiatives u2022 Track outcomes related to quality, efficiency, cost reduction, risk mitigation, and clinician experience u2022 Produce concise executive deliverables (issue briefs, decision memos, dashboards, outcome summaries) Team Development & Continuous Improvement u2022 Mentor Tiger Team analysts and leads in advanced analytics and AI delivery practices u2022 Promote repeatable playbooks, templates, and lessons learned from Tiger Team engagements Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Position Dir AI Transformation Location US:IL:Chicago Req ID 25740

Created: 2026-04-01