Privacy & AI Governance Senior Manager
Listed on 2026-02-28
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IT/Tech
Data Security, Cybersecurity, Information Security, IT Consultant
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive‑thru offerings.
To learn more, visit or connect with us on Linked In, X (formerly Twitter), Facebook, and Instagram.
Privacy & AI Governance Senior Manager
, reporting to the Vice President of Information Security & Privacy
. PAR is an international, fast‑paced, high‑growth environment and our tech stack is cloud and SaaS first, with a limited on‑prem footprint. Our ideal candidate will embrace diverse perspectives and exhibit integrity, leadership, security domain expertise, sound technical acumen, good business acumen, creativity, entrepreneurial spirit, and exceptional communication skills, all while keeping security and business objectives front and center. The Privacy & AI Governance Sr.
Manager and the Information Security & Privacy team are primarily responsible for privacy and AI governance program components within the company’s broader information security and privacy program, including unified cybersecurity, data privacy & trust framework oversight, third‑party risk management, customer assessment & inquiry response, trust center development & maintenance, and related inquiry resolution. While being a key resource for the entire company, the Privacy & AI Governance Sr.
Manager should be a subject matter expert who partners closely with IT, Legal, Internal Audit, HR and the Research & Development product teams in delivering against the company’s overall information security and privacy program.
Remotely based in the USA within one of the following cities:
- Philadelphia, PA
- New Hartford, NY or Syracuse Region (Central New York)
- Austin, TX
- Chicago, IL
- Minneapolis, MN
Occasional travel (2‑3 times a year) for team building activities.
Reports ToVP, Information Security & Privacy
Requirements What We’re Looking For- Ability to build collaborative relationships with diverse stakeholders across the whole company
- Effective communicator who can coordinate, elevate, provide feedback, and ask for help
- Capable of efficiently supporting the team’s workflow
- Continuous learner, innovator, and collaborator who thrives on helping people achieve more than they thought possible – together, we win as a team!
- Bachelor’s degree in a relevant field (e.g., Information Security, Privacy, Law, Public Policy, Computer Science) or equivalent practical experience; advanced degree or certifications (e.g., CIPP, CIPM, CISSP) are a plus.
- 3+ years of demonstrated experience building, operating, or scaling privacy and/or AI governance programs within a technology‑driven organization, preferably in a B2B SaaS or hardware environment.
- Strong working knowledge of global privacy and data protection laws and frameworks (e.g., GDPR, CCPA/CPRA, cross‑border data transfer requirements) and emerging AI governance and regulatory standards.
- Practical understanding of modern product development and data ecosystems, including cloud services, SaaS architectures, hardware‑software integration, and AI/ML use cases.
- Proven ability to partner cross‑functionally with security, engineering, product, legal, and business teams to drive outcomes through influence rather than authority.
- Working knowledge of common regulations, laws, and control frameworks, such as SOX ITGCs, GDPR, CCPA, SOC II, PCI, CIS, ISO
27001, etc.
- Advanced degree or specialized training in privacy, information security, AI/ML, law, or technology policy.
- Hands‑on experience with AI risk assessments, model governance, algorithmic impact assessments, or responsible AI frameworks.
- Experience supporting enterprise M&A integration efforts and…
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