Responsible AI Tech Lead (Data Modeling, 8-12 yrs)

Responsible AI Tech Lead

Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.

Data Modeling Techniques and Methodologies

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

In the role of Responsible AI Tech Lead, a typical day involves overseeing the ethical deployment of artificial intelligence technologies, ensuring that all AI initiatives adhere to established ethical standards and regulatory frameworks. This position requires guiding teams through the design and implementation of Responsible AI solutions, promoting collaboration across various departments, and advocating for the integration of ethical considerations in AI projects. The role also includes providing strategic leadership to align AI developments with organizational values and societal expectations, fostering an environment where responsible innovation thrives.

Roles & Responsibilities:

- Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Expected to provide solutions to problems that apply across multiple teams.

- Lead initiatives to promote ethical AI practices within the organization and ensure compliance with relevant regulations.

- Facilitate communication and coordination among diverse teams to drive responsible AI adoption and innovation.

- Mentor junior team members to develop their understanding of responsible AI principles and practices.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.

- Strong knowledge of designing scalable and interpretable data models that support ethical AI frameworks.

- Experience in integrating regulatory requirements and ethical guidelines into AI system architectures.

- Ability to analyze complex data structures and ensure data integrity and quality in AI applications.

- Skilled in collaborating with cross-functional teams to translate ethical AI principles into technical solutions.

- Competence in evaluating AI models for fairness, transparency, and accountability.

Additional Information:

- The candidate should have minimum 7 years of experience in Data Modeling Techniques and Methodologies.

- This position is based at our HDC4 - SEZ office.

- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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