Chief Responsible AI Officer

The Chief Responsible AI Officer will play a pivotal role in the CTO department, leading the charge in ensuring that all AI systems developed and deployed by the company are ethical, transparent, and accountable. This leader will be instrumental in developing a business and use-case specific responsible AI (RAI) framework, ensuring it can be tailored to meet the unique needs of various use-cases and clients. Additionally, the Chief Responsible AI Officer will act as a central point of coordination for both internal and external RAI initiatives and represent the company's perspectives in global RAI forums.

Key Responsibilities:

1. Development of Responsible AI Frameworks:

- Design and implement comprehensive RAI frameworks tailored to various business and use-case scenarios.

- Ensure that these frameworks are flexible and customizable to meet targeted vertical areas as well as the diverse needs of different clients.

2. Coordination of Internal and External RAI Efforts:

- Act as a central hub for all RAI activities within the company, ensuring alignment and consistency across departments.

3. Client Engagement and Advocacy:

- Work closely with clients to understand their needs and help build robust RAI cases for AI systems being developed.

- Provide expert guidance and support to clients on implementing RAI practices.

4. Thought Leadership and Representation:

- Represent the company's views on RAI at global forums such as the World Economic Forum (WEF) and the Organization for Economic Co-operation and Development (OECD).

- Publish thought leadership articles, whitepapers, and case studies to promote the company's RAI initiatives and achievements.

- Influence RAI certification with third parties such as IEEE

5. Training and Development:

- Develop and deliver training programs for internal teams and clients on RAI principles and best practices.

- Foster a culture of ethical AI development within the company.

6. Policy and Compliance:

- Stay abreast of evolving RAI regulations and guidelines.

- Ensure that all AI systems comply with relevant legal, ethical, and regulatory standards.

7. Stakeholder Engagement:

- Engage with key stakeholders, including clients, regulatory bodies, industry groups, and academia, to promote RAI.

- Build and maintain relationships with external partners and RAI experts.
Key Performance Indicators (KPIs):

1. Framework Development and Adoption that will help drive:

- Increase in top line revenue due to inclusion of RAI

- Number of RAI framework templates developed and successfully implemented across various use-cases.

- Number of clients that adopt the RAI frameworks.

- Number of AI projects within Cognizant adopting RAI frameworks

2. Client Impact:

- Number of clients successfully implementing RAI practices with the company's assistance.

- Number of joint implementations with partners

3. New AI Platforms and platform augmentations

- Number of Cognizant AI platforms and offerings incorporating RAI principles and frameworks

4. Thought Leadership:

- Position Cognizant as a trusted AI partner, attracting clients seeking responsible AI expertise to drive their business outcomes

- Number of thought leadership articles, white-papers, and case studies published.

- Frequency and impact of participation in global RAI forums (e.g., speaking engagements, panel discussions).

- Influencing at least one RAI certification with a third-party such as IEEE

5. Training and Awareness:

- Number of internal training sessions conducted, and participants trained on RAI principles and frameworks and certified on RAI.

6. Industry Collaboration:

- Contribute to the development of responsible AI standards through involvement with industry initiatives like the Global Partnership on AI, OECD, WEF, IEEE, NIST, ISO

Based on the provided information, here is a list of requirements for candidates applying for the position of Chief Responsible AI Officer:

Requirements for Chief Responsible AI Officer

- Advanced degree in Computer Science, Artificial Intelligence, Data Science, Ethics, Law, or a related field.

- Extensive experience in developing and implementing AI systems.

- Proven track record in leading AI ethics, responsible AI, or AI governance initiatives.

- Experience in client engagement and advocacy, particularly in the AI domain.

- Experience in a leadership role, preferably within a technology or consulting firm.

- Deep understanding of AI technologies and their ethical implications.

- Proficiency in designing and implementing AI frameworks and guidelines.

- Knowledge of relevant AI regulations, standards, and compliance requirements.

- Strong leadership skills with the ability to coordinate across departments.

- Experience acting as a central point of coordination for RAI initiatives.

- Excellent client-facing skills with the ability to understand and address client needs.

- Experience in building and advocating for RAI cases with clients.

- Recognized thought leader in the field of AI ethics and responsible AI.

- Experience representing a company at global forums and industry events.

- Track record of publishing articles, whitepapers, and case studies on AI ethics and responsible AI.

- Experience developing and delivering training programs on RAI principles and practices.

- Ability to foster a culture of ethical AI development within an organization.

- In-depth knowledge of evolving RAI regulations and guidelines.

- Proven ability to ensure AI systems comply with legal, ethical, and regulatory standards.

- Strong network of relationships with key stakeholders, including regulatory bodies, industry groups, and academia.

- Ability to build and maintain relationships with external partners and RAI experts.

- Demonstrated ability to drive the adoption of RAI frameworks and principles.

- Track record of influencing RAI certification with third parties.

- Experience contributing to the development of responsible AI standards through industry collaborations.

- Excellent communication and presentation skills.

- Strong analytical and problem-solving abilities.

- Ability to work in a fast-paced and dynamic environment

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 345,000 associates around the world.
• We don't just dream of a better way - we make it happen.
• We take care of our people, clients, company, communities and climate by doing what's right.
• We foster an innovative environment where you can build the career path that's right for you.

About us:
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.