Data Enablement and Automation Director

hss; New York (NY); On-site; USD 132,000 - 202,000; Full time

Job summary

HSS in New York is transforming musculoskeletal healthcare through data and technology. We are seeking a Director, Data Enablement and Automation to advance how the organization uses data, AI, and automation and to translate emerging technologies into scalable solutions.

You will partner with technology teams and business stakeholders to embed guidance into workflows, define a scalable enablement strategy, and drive measurable improvements in adoption and impact across the enterprise.

Responsibilities

• Drive Data Enablement & Automation Strategy: Define and advance a scalable strategy for data enablement, automation, AI adoption, and workforce capability across HSS Data.
• Drive Product-Led Enablement: Treat workforce capability and learning as a scalable product, designing iterative, metric-driven enablement experiences.
• Product Team Collaboration: Partner with internal data science, AI, and product engineering teams to integrate onboarding and adoption frameworks into AI agents and data platforms.
• Identify and Operationalize Emerging Technology: Identify generative AI, automation, agentic AI, and data tech; translate them into concrete business workflows.
• Build AI-Enabled Workflows: Develop orchestrations that integrate foundation models, AI agents, automation, and data services.
• Automate Complex Business Processes: Identify and implement automation solutions supporting strategic domains.
• Embed Enablement in the Flow of Work: Architect in-the-flow-of-work learning systems and support mechanisms for real-time use of new data and AI capabilities.
• Drive Cross-Functional Product Enablement: Integrate onboarding, guidance, and feedback into newly launched AI agents and data products.
• Develop and Integrate Technical Solutions: Build, monitor, and enhance ETL processes, API integrations, and workflow automations across data sources and platforms.
• Measure Adoption and Business Impact: Define and track quantitative adoption metrics and performance.

Job description

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 (United States of America)

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 effe