Data, Privacy & Ethics - Data & AI Governance Manager

Published date Posted on Indeed on Aug 05, 2022 (14 d ago)
A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change. Our team is responsible for defining and upholding data governance plans. Efforts transform the way the firm manages and capitalizes on its data/maximizes the income potential of data which spans a variety of people, processes, policies, and technologies.


To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Develop new skills outside of comfort zone.
  • Act to resolve issues which prevent the team working effectively.
  • Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
  • Analyse complex ideas or proposals and build a range of meaningful recommendations.
  • Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
  • Address sub-standard work or work that does not meet firm's/client's expectations.
  • Use data and insights to inform conclusions and support decision-making.
  • Develop a point of view on key global trends, and how they impact clients.
  • Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
  • Simplify complex messages, highlighting and summarising key points.
  • Uphold the firm's code of ethics and business conduct.


Our Data, Privacy and Ethics team integrates data & AI governance, privacy, ethics, and accessibility into PwC digital assets by providing guidance, writing policies, and establishing standards. Our Data & AI Governance professionals within the team help PwC teams build responsible AI, establish justifiable confidence in trusted technologies, and consult on how to use data effectively and correctly.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Additional Educational Requirements:

Bachelor's degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.

Minimum Years of Experience:
5 year(s)

Preferred Qualifications:

Degree Preferred:
Master Degree

Preferred Knowledge/Skills:

Demonstrates extensive-level abilities with, and/or a proven record of success directing efforts identifying and addressing client needs by:

  • Leading project management and communications efforts to facilitate efficient operations and build strategic partnerships across PwC;
  • Developing and maintaining a comprehensive project plan, reporting metrics of success to Products & Technology leadership, and managing a stakeholder strategy including technical teams, risk and policy teams, business leaders, and senior executives across PwC;
  • Demonstrating an understanding of advanced analytics, including artificial intelligence, machine learning, cloud, and data visualization;
  • Demonstrating an understanding of privacy, data, and model governance activities including oversight mechanisms, documentation, development processes;
  • Specializing in econometric and analytical modeling, statistical and/or machine learning techniques for analyzing large sets of data, including: sampling, hypothesis testing, optimization, time series, regression, decision tree, and cluster analyses; supervised and unsupervised learning in python or R;
  • Displaying techniques for visualizing complex data analyses;
  • Demonstrating abilities and/or a proven record of success in model development, testing, documentation, and validation;
  • Displaying ability to identify and address client needs, which includes: building relationships with clients, developing an awareness of Firm services, approaching client in an organized manner, and delivering clear requests for information;
  • Providing problem solving skills, communicates effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
  • Displaying ability to research and analyze pertinent client, industry, and technical matters;
  • Demonstrating ability to contribute to a positive working environment by building relationships with team members; proactively seeking guidance, clarification and feedback;
  • Demonstrating ability to identify, escalate and communicate potential issues and conflicts;
  • Utilizing flexibility in handling multiple tasks by prioritizing and focusing on successful execution;
  • Establishing and coordinating governance practices for first and second line;
  • Collaborating with senior leaders and coordinating roll-out and change management for new
  • processes;
  • Demonstrating ability to monitor for regulatory trends and support policy framework initiatives around AI data and privacy; and,
  • Demonstrating ability to be actively engaged with thought leadership institutions and recommended practice.

At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoproductstechmanager.

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