Description

Director II Data Platforms & AI Governance (Hybrid)

Chicago, IL

 
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health. 

 
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve. 

 
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you. 

 
We have an opportunity at our corporate offices in Chicago for a Director II Data Platforms & AI Governance (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office. 

This role will lead the development and implementation of the enterprise data platforms and AI governance framework in support of AMA’s mission to promote the art and science of medicine and the betterment of public health.  This role is responsible for ensuring the secure, reliable, and cost-effective operation of AMA’s data platforms and embeds governance and risk management into engineering delivery. This role partners across IT, security, legal, and data stakeholders in AMA’s business units to evolve and develop standards that enable responsible data and AI usage while maintaining compliance with organizational policies and regulatory obligations. This role extends the current Enterprise Data Office (EDO) scope to encompass modern data platforms.

 
RESPONSIBILITIES:

Operating Model Development

• Lead the ongoing development and maturation of the enterprise data platform strategy and AMA’s data and AI governance operating model.
• Build and maintain a multi-year data platform and AI capability roadmap aligned with organizational priorities, IT leadership direction, and business-unit needs.
• Define a clear vision for a scalable, secure, and governed data ecosystem that supports analytics, interoperability, and responsible AI adoption.
• Establish communication structures, documentation practices, and agile prioritization methods to ensure alignment across technical, regulatory, and business stakeholders.
• Develop, implement, and maintain AI governance processes covering data usage, model development, model inference and application, monitoring, drift detection, and lifecycle controls.
• Ensure platform and governance strategies are adaptable to evolving regulatory, ethical, and industry best practice standards.

Governance, Controls & Standards

• Oversee and partner with Data Governance Lead on fulfilling the Enterprise Data Office responsibility of developing and maintaining data standards in policy in collaboration with Risk Management, Security and the Office of the General Counsel. including access, privacy, data quality, metadata standards, lineage, and retention to ensure secure and compliant data usage across the platforms.
• Establish and manage processes for enforcing data quality, stewardship, and lifecycle management standards across the enterprise.
• Collaborate with federated data and analytics teams to balance business unit autonomy with enterprise requirements.
• Define and maintain technical role structures, responsibilities, and platform policies that enable efficient and compliant data operations.
• Drive adoption of platform standards through enablement, training, and ongoing partnership with business units

Platform Reliability, Security & Cost Management

• Oversee the reliability, performance, scalability, and security of the enterprise data platforms in partnership with the Data Platform Lead and both IT and federated business unit engineering teams.
• Ensure appropriate observability tooling and monitoring practices for platform health, cost optimization, model performance, data quality, and governance compliance; drive continuous improvement initiatives.

Governance Councils & Cross Organizational Alignment

• Coordinate and facilitate enterprise governance councils and decision-making bodies, including but not limited to Enterprise Data Office, Data Privacy Team, AI Working Group, and Data Advancement Team.
• Evolve data governance committees focused on standards, stewardship, access, quality, and issue escalation.
• Assist in leading the AMA AI Working Group, ensuring responsible and safe AI adoption, integrating ethical frameworks, regulatory requirements, and organizational risk considerations.
• Build and sustain a centralized body of AI expertise by facilitating knowledge sharing, training, and organizational capability building.
• Communicate governance decisions, platform updates, risks, and performance indicators to senior leadership and executive stakeholders.
• Serve as a trusted advisor to business unit leaders, helping them safely leverage data and AI for improved outcomes and innovation. Collaborate with Legal, Compliance, IT Security, and Risk to anticipate and proactively manage data and AI related risks.

Staff Management

• Lead, mentor and provide management oversight for a multidisciplinary team including data governance, engineering, and platform specialists.
• Responsible for setting objectives, evaluating employee performance, and fostering a collaborative team environment.
• Foster a culture of accountability, transparency, and continuous improvement across the data organization.
• Responsible for developing staff knowledge and skills to support career development.
• May include other responsibilities as assigned 

Requirements

REQUIREMENTS:

1. Required Bachelor's degree Computer Science, Information Systems, Data Science, Engineering, or Applied Mathematics / Statistics
2. 10+ years of experience in Data platforms, data engineering, analytics platforms required
3. 5+ years of experience People management required; able to attract and develop talent.
4. Experience in ownership of a large-scale data platform, preferably built on modern lakehouse architectures (Databricks preferred)
5. Proven expertise contributing to platform strategy, multiyear roadmaps, and platform lifecycle management
6. Experience managing roadmaps, budget-related planning, multiworkstream programs, and prioritization frameworks
7. Hands-on experience developing, implementing, and maturing enterprise data governance frameworks
8. Working knowledge of AI/ML models, lifecycle management, and AI governance frameworks
9. Demonstrated success leading cross-functional teams that include both engineering and governance disciplines
10. Strong ability to influence, negotiate, and drive alignment across stakeholders without direct authority
11. Ability to balance innovation with operational reliability, cost efficiency, and regulatory requirements

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago. 

This role is an exempt position, and the salary range for this position is $173,747-$234,610. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee’s pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association’s benefits offerings, please click here.  

We are an equal opportunity employer, committed to diversity in our workforce.  All qualified applicants will receive consideration for employment.  As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION