Fellow - Data and AI Governance
The Data and AI Governance Leader, will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Their participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures and technical controls ensuring effective, ethical, and legal use of Data & AI technologies. This leadership position is critical in providing strategic and thought leadership across our company's policies, standards, and procedures as they relate to Data preparation, Data management, Model development, Evaluation, Deployment, Monitoring, and Corrections. This is an individual contributor role requiring close collaboration with legal, ethical, security, branding, IS, and administrative teams, as well as acting as a bridge between the policy defining teams and the execution teams in defining compliance frameworks, risk assessment frameworks and foster collaboration to implement repeatable, consistent, and efficient practices.
They will also facilitate data literacy and training about key information assets across the organization. They will be expected to have a deep industry understanding and expert practitioner experience with governance including successfully running executive-level governance councils. They will also be accountable for strengthening Data and AI governance capabilities in the region to cater to Providence and other partnering health systems.
Key Responsibilities:
Strategic:
- Provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company’s vision and goals.
- Stay current on existing and evolving Data & AI governance laws and regulations to revise existing policies and procedures and drive alignment with the Organization’s Governing Principles.
- Continuously work with Providence’s AI Council and internal / external policy teams and industry associations to stay current with, existing and new, laws and regulations.
- Collaborate with compliance, legal, cyber and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations.
- Establish a working model that includes data engineering, science, products teams, research, and genomics teams to identify and address concerns related to data collection, modeling, and consumption.
- Establish technical guidelines and frameworks for the development, deployment, and operations teams to assess and manage AI risks.
- Collaborate with executive leadership to define and prioritize governance initiatives.
- Act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication.
- Facilitate collaboration on guardrail processes and ensure their implementation and continuous improvement.
Leadership:
- Collaborate with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Org.
- Lead cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures.
- Oversee the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction.
- Ensure the integrity, quality, and security of data and AI models across all stages.
- Work with the Business, Ethics, and Compliance teams to establish auditable controls and monitor compliance to governing principles.
- Establish and maintain clear lines of accountability to ensure compliance with governance standards.
- Create and maintain auditable artifacts to document adherence to governance policies and procedures.
- Identify areas for improvement within the governance framework and drive initiatives to enhance efficiency and effectiveness.
- Conduct risk assessments and identify potential risks associated with AI usage. Define mitigations and establish auditable controls.
- Be the face of Data and AI COE for internal and external audits.
- Develop training and educational programs that help embrace governance as a way of working.
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Policy Translation:
- Translate company policies, standards, and procedures into actionable technical standards and guidelines.
- Develop frameworks and tools to ensure adherence to governance policies throughout the data and AI lifecycle.
Professional Experience / Qualifications:
- Bachelors/ Masters in STEM / Healthcare areas of specialization.
- 14+ Years of relevant industry experience.
- 5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc.
- 3+ years of experience leading high-performing Data / AI Governance teams- hiring, building and growing.
- Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA).
- Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector.
- Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices.
- Experience working with cross-functional teams, including data science, engineering, legal, and compliance.
- Deep technical understanding of AI systems, model lifecycle management, and associated risks.
- Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges.
- Expertise in risk management frameworks, audit processes, and AI/ML validation techniques.
- Any certifications related to Data Governance, AI Governance, Data Management will be good to have.
- Knowledge of Healthcare Industry and Any Certifications in Healthcare will be good to have.
- This is an individual contributor role
