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AI/Data Governance Leader

2 weeks ago

Hyderabad, Telangana, India Michael Page Full time
Working with C level executivesWorking on disruptive Data Governance projects

About Our Client

Leading MNC

Job Description

Strategic:
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Provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company's vision and goals.
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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

Collaborate with compliance, legal, cyber and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations.
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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

Act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication.
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Facilitate collaboration on guardrail processes and ensure their implementation and continuous improvement.Leadership:
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Collaborate with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Org.
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Lead cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures.
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Oversee the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction.
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Ensure the integrity, quality, and security of data and AI models across all stages

The Successful Applicant

Bachelors/ Masters in STEM / Healthcare areas of specialization.
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14+ Years of relevant industry experience.
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5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc.
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3+ years of experience leading high-performing Data / AI Governance teams- hiring, building and growing.
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Strong knowledge of governance principles, privacy laws, and industry-specific regulations (, GDPR, HIPAA, FCRA).
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Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector.
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Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices.
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Experience working with cross-functional teams, including data science, engineering, legal, and compliance.
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Deep technical understanding of AI systems, model lifecycle management, and associated risks.
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Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges.
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Expertise in risk management frameworks, audit processes, and AI/ML validation techniques.