✓You’ll need

Qualifications

✓7+ years of experience designing and implementing automation, data, AI, technology enablement, or related solutions across multiple technologies and business functions.

✓Demonstrated experience translating emerging technologies into practical business workflows and scalable solutions.

✓Technical Acumen: Proficiency with modern automation, integration, API, cloud, and data platform technologies, with the ability to understand and contribute to technical solution design and development.

✓Product-Led Enablement & Adoption: Demonstrated experience designing scalable approaches to technology adoption and workforce enablement, with the ability to bridge technical and non-technical stakeholders and translate business needs into effective solutions.

✓Data-Driven Evaluation & Human-Centered Design: Experience using product analytics, adoption funnels, workforce telemetry, and feedback mechanisms to evaluate effectiveness and inform iteration.

✓D emonstrated commitment to continuous learning, experimentation, and measurable impact is key.

✓Key Competencies

✓Strategic and Product-Oriented: Able to translate organizational priorities and emerging technology into scalable products, workflows, and enablement strategies.

✓Technical and Business Acumen: Comfortable operating across technical architecture, data, AI, automation, and business process design while translating complex concepts for diverse audiences.

✓Data-Driven: Uses quantitative and qualitative evidence to understand adoption, measure impact, identify friction, and continuously improve solutions.

✓Human-Centered: Understands how people work and learn, and designs experiences that make technology intuitive, useful, and embedded in day-to-day workflows.

✓Cross-Functional Influencer: Proven track record of bridging the gap between technical engineering teams (data engineers, AI builders) and non-technical business units to drive tool adoption.

✓Creative and Analytical: Strong analytical, critical, and creative thinking skills with the ability to turn ambiguous problems into practical, scalable solutions.

✓Change Leader: Motivated self-starter who embraces experimentation, champions adoption, supports team growth, and helps shape the future of how HSS engages with actionable data.

✓Responsible and Sustainable: Committed to delivering secure, robust, governed, and sustainable solutions appropriate for a healthcare environment.

✓Non-Discrimination Policy

Healthcare Experience: Experience with healthcare data, or similarly complex and regulated domains preferred.

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About the role

Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success.

How you move is why we’re here. ® Now more than ever. Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let’s talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise. Emp Status Regular Full time Work Shift Day Compensation Range The base pay scale for this position is $132,000.00 - $201,500.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future. What you will be doing Description We are transforming musculoskeletal healthcare through intelligent, scalable data and technology solutions. Our Enterprise Data & Analytics teams empower everyone across HSS – including clinicians, researchers, financial and operational teams – with timely, trusted insights, intelligent automation, and technology-enabled workflows that enhance patient care and operational performance. We operate in cross-functional Product
Oriented Delivery (POD) teams, leveraging modern platforms to turn data, AI, and technology into action. We are seeking a Director, Data Enablement and Automation to help advance how HSS uses data, AI, and automation across the organization. In this role, you will help translate emerging technologies into scalable solutions, enable adoption of data and products, and embed guidance and support directly into workflows. You will work across Technology teams and with business stakeholders to connect tech, people, and processes – driving measurable improvements in how teams use data, automation, and AI to deliver impact. Core Responsibilities Drive Data Enablement & Automation Strategy: Define and advance a scalable strategy for data enablement, automation, AI adoption, and workforce capability across HSS Data, translating emerging technologies into practical solutions that improve how teams work and make decisions. Drive Product
Led Enablement: Treat workforce capability and learning as a scalable product, designing iterative, metric-driven enablement experiences rather than one-off training. Ensure adoption and user enablement are built into data, AI, and technology products from the outset. Product Team Collaboration: Partner directly with internal data science, AI, and product engineering teams to integrate user onboarding, contextual guidance, and adoption frameworks into newly launched AI agents and data platforms. Identify and Operationalize Emerging Technology: Identify emerging generative AI, automation, agentic AI, and data technologies at the edge; evaluate their potential; translate them into concrete business workflows; and design scalable interventions that drive adoption across the enterprise. Build AI-Enabled Workflows: Develop and architect orchestrations that integrate foundation models, AI agents, automation, and data services, ensuring effective interfaces between AI systems and automated processes. Automate Complex Business Processes: I dentify , design, and implement automation solutions supporting strategic domains Embed Enablement in the Flow of Work: Architect in-the-flow-of-work learning systems, contextual guidance, prompt libraries, agentic assistants, and other support mechanisms that help employees navigate complex tasks and effectively use new data, AI, and automation capabilities in real time. Drive Cross
Functional Product Enablement: I ntegrate user onboarding, contextual guidance, adoption frameworks, and feedback mechanisms into newly launched AI agents and data products. Develop and Integrate Technical Solutions: Build, monitor, and enhance ETL processes, API integrations, workflow automations, and other technical solutions spanning multiple data sources, platforms, and business functions. Measure Adoption and Business Impact: Define and track quantitative adoption and performance metrics, such as active tool usage, prompt effectiveness, workflow completion, task cycle time, and automation utilization , to connect enablement and automation efforts directly to measurable business outcomes. Establish Continuous Feedback Loops: Instrument feedback mechanisms across data and AI product experiences to capture user friction points, behavioral signals, and qualitative feedback, using these insights to inform product roadmaps, enablement strategies, and iterative improvements. Champion Sustainable Solutions: Document, test, monitor, and deploy solutions with a focus on scalability, maintainability, usability, and long-term adoption by the broader organization. Ensure Responsible Deployment: Ensure data, automation, and AI solutions meet high standards for security, compliance, privacy, and governance appropriate for a healthcare environment. Build Organizational Capability: Foster a culture of learning, experimentation, and continuous improvement. Mentor teammates, share discoveries, develop best practices, and help grow HSS Data’s capabilities in automation, AI, and data enablement. Stay Ahead of Technology: Continuously evaluate advances in generative AI, agentic AI, machine learning, automation, analytics, and data platforms, advocating for approaches that expand HSS Data’s ability to deliver scalable, innovative solutions. Experience & Qualifications 7+ years of experience designing and implementing automation, data, AI, technology enablement, or related solutions across multiple technologies and business functions. AI & Data Literacy : Deep hands-on familiarity with modern generative AI capabilities, LLM tooling, prompt design, agentic workflows, automation technologies, and data product lifecycles. Demonstrated experience translating emerging technologies into practical business workflows and scalable solutions. Technical Acumen: Proficiency with modern automation, integration, API, cloud, and data platform technologies, with the ability to understand and contribute to technical solution design and development. Product
Led Enablement & Adoption: Demonstrated experience designing scalable approaches to technology adoption and workforce enablement, with the ability to bridge technical and non-technical stakeholders and translate business needs into effective solutions. Data
Driven Evaluation & Human
Centered Design: Experience using product analytics, adoption funnels, workforce telemetry, and feedback mechanisms to evaluate effectiveness and inform iteration. Ability to apply UX research, rapid prototyping, journey mapping, performance consulting, or similar approaches to enterprise technology or workforce transformation initiatives. Healthcare

Experience with healthcare data, or similarly complex and regulated domains preferred. D emonstrated commitment to continuous learning, experimentation, and measurable impact is key. Key Competencies Strategic and Product
Oriented: Able to translate organizational priorities and emerging technology into scalable products, workflows, and enablement strategies. Technical and Business Acumen: Comfortable operating across technical architecture, data, AI, automation, and business process design while translating complex concepts for diverse audiences. Data
Driven: Uses quantitative and qualitative evidence to understand adoption, measure impact, identify friction, and continuously improve solutions. Human
Centered: Understands how people work and learn, and designs experiences that make technology intuitive, useful, and embedded in day-to-day workflows. Cross
Functional Influencer: Proven track record of bridging the gap between technical engineering teams (data engineers, AI builders) and non-technical business units to drive tool adoption. Creative and Analytical: Strong analytical, critical, and creative thinking skills with the ability to turn ambiguous problems into practical, scalable solutions. Change Leader: Motivated self-starter who embraces experimentation, champions adoption, supports team growth, and helps shape the future of how HSS engages with actionable data. Responsible and Sustainable: Committed to delivering secure, robust, governed, and sustainable solutions appropriate for a healthcare environment. Non
Discrimination Policy Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Data Enablement and Automation Director

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