Head of Privacy, AI & Data Governance

Head Of Privacy, Ai & Data Governance

The head of privacy, AI & data governance serves as Takeda's enterprise leader for privacy, responsible AI governance, and the governance of personal data. As a member of the global ethics & compliance leadership team, this leader develops the governance, capabilities, and strategic partnerships that enable the organization to responsibly use data and emerging technologies while maintaining the trust of patients, healthcare professionals, employees, regulators, and society.

By embedding privacy, responsible AI, and trusted data governance into business strategy, technology, and innovation, this role helps Takeda responsibly accelerate innovation while meeting evolving regulatory expectations and strengthening stakeholder trust.

Responsibilities include serving as the primary advisor to executive leadership on enterprise privacy, responsible AI governance, and trusted use of personal data, partnering with business, digital, data & technology (DD&T), cybersecurity, legal, HR, R&D, commercial, and other stakeholders to enable responsible innovation through practical, risk-based governance, translating evolving privacy, AI, and data governance expectations into practical business guidance that supports innovation while protecting individuals, fostering a culture where privacy and responsible technology use are viewed as strategic business enablers and drivers of trust, leading Takeda's global privacy program and enterprise privacy governance framework, developing and overseeing the enterprise framework for responsible AI governance, ensuring the responsible use of AI technologies involving personal data and other sensitive information, leading governance for the responsible collection, use, sharing, retention, transfer, and protection of personal information across the enterprise, embedding privacy by design and responsible data governance into business processes, digital initiatives, research, commercial activities, and emerging technologies, conducting horizon scanning to identify emerging privacy, AI, technology, regulatory, and societal developments, translating those insights into governance strategies and practical business guidance, developing enterprise privacy policies, standards, and governance frameworks that enable consistent, scalable, and globally aligned practices, enabling responsible innovation by partnering with digital, cybersecurity, data, legal, and business leaders throughout the development and deployment of new technologies, developing practical governance frameworks that enable emerging technologies while maintaining appropriate safeguards for personal information and responsible AI, promoting scalable, risk-based approaches to privacy, AI governance, and trusted data use that support business objectives, continuously evolving governance approaches to address changing technologies, regulatory expectations, and societal expectations, serving as an active member of the global ethics & compliance leadership team, contributing to enterprise strategy, organizational effectiveness, and continuous improvement, partnering across ethics & compliance functions to integrate privacy, AI governance, compliance, cybersecurity, and enterprise risk management into a coordinated governance model, representing Takeda externally with regulators, industry groups, and other stakeholders, helping shape leading practices in privacy and responsible technology governance where appropriate, building, coaching, and developing a high-performing team recognized for strategic thinking, technical expertise, collaboration, and business partnership, fostering an inclusive culture grounded in curiosity, innovation, accountability, and continuous learning, and developing organizational capability in enterprise privacy, responsible AI governance, and trusted data stewardship.

Preferred qualifications include 15+ years of progressive leadership experience developing and leading enterprise privacy, responsible AI governance, data governance, cybersecurity governance, or digital trust programs within complex, global, and highly regulated organizations, an advanced degree in a relevant discipline such as computer science, engineering, cybersecurity, information systems, law, business, public policy, or a related field, significant in-house leadership experience within the pharmaceutical or biotechnology industry, deep expertise in enterprise privacy, responsible AI governance, trusted data governance, and global privacy regulatory requirements and expectations, strong knowledge of digital technologies, artificial intelligence, cybersecurity, cloud technologies, and governance considerations associated with emerging technologies, demonstrated success designing and implementing governance frameworks that enable responsible innovation while ensuring regulatory compliance and the protection of individual rights, proven experience partnering with executive leadership to influence enterprise…