AI Governance Outcomes Leader

## Qualifications

• Advanced degree such as an MA or PhD in a relevant field
• At least 2 years of work experience on issues pertaining to artificial intelligence and responsible AI
• Experience in Healthcare, Life Sciences, Banking or any highly regulated industry
• Expertise in privacy, security, data analytics, risk management, and related fields
• Knowledge and experience operationalizing responsible AI topics
• Practical experience with ML and generative AI development pipelines
• Ability to ensure confidentiality of sensitive information
• Effective communication and written skills
• Proven record of being an effective team player

## Benefits

• Meaningful time off and paid holidays
• Parental leave
• 401(k) with a match
• Highly subsidized health, dental, & vision coverage
• Adoption and fertility assistance
• Short/long-term disability
• Yearly \$350 reimbursement account for well-being-related expenses
• Discounted home, auto, and pet insurance

## Responsibilities

• As an AI Governance specialist, you will guide clients and deliver complex AI/ML strategies and solutions, focusing on alignment with governance, oversight, and regulatory expectations
• This role requires a strong blend of technical, policy, and business acumen, leveraging advanced AI technologies to create impactful solutions and articulate their benefits to senior executives and delivery and sales teams
• You will play a critical role in ensuring that AI technologies meet emerging regulatory expectations and realize multi-stakeholder value, collaborating closely with various teams and partners to help customers efficiently and securely adopt AI technologies in a compliant and trustworthy manner
• Develop and implement frameworks and guidelines for responsible AI and AI Governance
• Conduct thorough assessments of AI systems to identify impacts and mitigate potential risks, limitations, biases and ethical concerns
• Set up robust policies, controls, standards, and risk frameworks in collaboration with clients and their risk partners
• Lead initiatives to enhance transparency and explainability of AI systems
• Select appropriate technologies from a pool of open-source and commercial offerings
• Understand and contribute to MLOps, LLMOps, and AI transformations to SDLC
• Enable the engineering of AI platforms and architecture with embedded controls
• Provide training and support to team members on responsible AI principles and practices
• Represent Slalom and support the development of thought leadership by engaging with external stakeholders
• Foster partnerships with third-party vendors and industry groups
• Advocate for the importance of AI Governance and Trustworthy AI through speaking engagements
• Lead client engagements as a Subject Matter Expert in AI Governance
• Work within existing technology platforms to design effective record-keeping and oversight systems
• Stay up-to-date on emerging frameworks, standards, policies, and technical approaches

## Full Description

About the position

As an AI Governance specialist, you will guide clients and deliver complex AI/ML strategies and solutions, focusing on alignment with governance, oversight, and regulatory expectations. This role requires a strong blend of technical, policy, and business acumen, leveraging advanced AI technologies to create impactful solutions and articulate their benefits to senior executivesand delivery and sales teams. You will play a critical role in ensuring that AI technologies meet emerging regulatory expectations and realize multi-stakeholder value, collaborating closely with various teams and partners to help customers efficiently and securely adopt AI technologies in a compliant and trustworthy manner.

Responsibilities

• Develop and implement frameworks and guidelines for responsible AI and AI Governance.
• Conduct thorough assessments of AI systems to identify impacts and mitigate potential risks, limitations, biases and ethical concerns.
• Set up robust policies, controls, standards, and risk frameworks in collaboration with clients and their risk partners.
• Lead initiatives to enhance transparency and explainability of AI systems.
• Select appropriate technologies from a pool of open-source and commercial offerings.
• Understand and contribute to MLOps, LLMOps, and AI transformations to SDLC.
• Enable the engineering of AI platforms and architecture with embedded controls.
• Provide training and support to team members on responsible AI principles and practices.
• Represent Slalom and support the development of thought leadership by engaging with external stakeholders.
• Foster partnerships with third-party vendors and industry groups.
• Advocate for the importance of AI Governance and Trustworthy AI through speaking engagements.
• Lead client engagements as a Subject Matter Expert in AI Governance.
• Work within existing technology platforms to design effective record-keeping and oversight systems.
• Stay up-to-date on emerging frameworks, standards, policies, and technical approaches.

Requirements

• Advanced degree such as an MA or PhD in a relevant field.
• At least 2 years of work experience on issues pertaining to artificial intelligence and responsible AI.
• Experience in Healthcare, Life Sciences, Banking or any highly regulated industry.
• Expertise in privacy, security, data analytics, risk management, and related fields.
• Knowledge and experience operationalizing responsible AI topics.
• Practical experience with ML and generative AI development pipelines.
• Ability to ensure confidentiality of sensitive information.
• Effective communication and written skills.
• Proven record of being an effective team player.

Benefits

• Meaningful time off and paid holidays.
• Parental leave.
• 401(k) with a match.
• Highly subsidized health, dental, & vision coverage.
• Adoption and fertility assistance.
• Short/long-term disability.
• Yearly \$350 reimbursement account for well-being-related expenses.
• Discounted home, auto, and pet insurance.