Generative AI Governance and Process Manager
General Information
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Country
United States
Department
IM BUSINESS OPERATIONS
Date
Monday, December 23, 2024
Working time
Full-time
Ref#
20034719
Job Level
Specialist
Job Type
Experienced
Job Field
IM BUSINESS OPERATIONS
Seniority Level
Mid-Senior Level
Currency
USD - United States - US
Annual Base Salary Minimum
89,340
Annual Base Salary Maximum
178,680
The salary range above represents the low and high end in the local currency of Xerox's salary range for this position and is reflected in an annualized amount. Actual salaries will vary based on factors including, but not limited to, geographic location, market competition, and/or the successful applicant's education, experience, knowledge, skills, and abilities. The range listed is just one component of Xerox's total compensation package for employees. Employees are also afforded a comprehensive suite of benefits, to view those details please visit Xerox Careers for your applicable country. If you are not reviewing this job posting on Xerox Careers (/xerox. avature. net/en_US/careers) , we cannot guarantee the validity of this posting. For a list of our current internal postings, please visit Xerox Careers (/xerox. avature. net/en_US/careers) .
Description & Requirements
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About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we've expanded into software and services to sustainably power today's workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients - no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at xerox. com and explore our commitment to diversity and inclusion. (/ xerox. com/en-us/jobs/diversity)
About the Role:
The Generative AI Governance and Process Manager will be a key member of the Generative AI Center of Excellence (COE), responsible for designing, implementing, and continuously refining governance frameworks and operational processes for Generative AI technologies. This role ensures that AI initiatives across Xerox are streamlined, responsible, and aligned with business goals, while adapting to the rapid evolution of AI tools and technologies.
You will lead efforts to centralize intake through a unified channel, create synergies between internal business functions, and manage the technology solutions that support these processes. Your work will play a pivotal role in maintaining trust, efficiency, and compliance while enabling scalable Generative AI adoption across the organization.
Candidate must reside in EST time zone.
Key Responsibilities:
Establish Governance Frameworks and Processes
Design and implement a centralized governance framework to streamline Generative AI intake, reviews, and approvals.
Develop clear, adaptable processes to evaluate and approve AI use cases, tools, and technologies.
Align governance processes with organizational values, legal requirements, and industry best practices.
Centralize and Streamline Intake and Reviews
Build and manage a unified channel for Generative AI intake, ensuring consistency across business functions.
Collaborate with stakeholders to align on review processes, minimizing redundancies and improving efficiency.
Create a mechanism to prioritize and track Generative AI initiatives from submission through implementation.
Technology Management and Process Support
Identify and implement tools and platforms to support governance processes, including intake management, tracking, and reporting.
Ensure that technology solutions evolve alongside governance needs to support scalable AI adoption.
Partner with IT and external vendors to optimize tool configuration and integration with existing systems.
Adapt Processes to Evolving Technologies
Continuously evaluate and update governance frameworks and processes to keep pace with advancements in Generative AI.
Monitor emerging risks, regulations, and technologies to proactively adjust governance strategies.
Foster a culture of adaptability and innovation in governance practices.
Collaboration and Synergy Building
Work closely with internal business functions (Legal, Privacy, IT, Security, and others) to ensure alignment and eliminate silos in governance efforts.
Act as the central point of contact for cross-functional teams, driving collaboration and shared accountability.
Build relationships with external partners to stay informed on best practices and benchmarks.
Metrics, Reporting, and Communication
Develop metrics and dashboards to track the effectiveness of governance frameworks and processes.
Provide regular updates to leadership on governance performance, risks, and improvements.
Create clear and concise documentation for governance policies, processes, and roles.
Qualifications and Experience:
Proven experience in governance, process management, or risk management, preferably within AI, emerging technologies, or IT.
Strong background in developing and operationalizing frameworks and processes to manage complex, cross-functional initiatives.
Experience with technology solutions that support governance, such as workflow tools, intake management systems, or AI platforms.
Familiarity with data privacy, security, and compliance regulations related to AI and technology.
Demonstrated ability to collaborate across business functions and drive alignment in complex organizations.
Strong analytical and problem-solving skills, with a proactive approach to managing change.
Bachelor's degree in a related field required; certifications in governance, risk, or project management are a plus.
Key Competencies:
Process Excellence: Expertise in designing and managing efficient, scalable processes.
Adaptability: Ability to evolve frameworks and tools in response to technological and organizational changes.
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