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Managed Services - LLM and Agent Operations - Director

AT PwC
PwC

Managed Services - LLM and Agent Operations - Director

Milwaukee, WI

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

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Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Lead in line with our values and brand.
  • Develop new ideas, solutions, and structures; drive thought leadership.
  • Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
  • Balance long-term, short-term, detail-oriented, and big picture thinking.
  • Make strategic choices and drive change by addressing system-level enablers.
  • Promote technological advances, creating an environment where people and technology thrive together.
  • Identify gaps in the market and convert opportunities to success for the Firm.
  • Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team you will set the strategic vision for AI/ML-powered managed services offerings. As a Director you will drive business growth by leading large-scale AI/ML and data engagements, promoting impactful client relations and fostering a culture of innovation.

Responsibilities

- Nurture sturdy client relationships through impactful engagement

- Foster a culture of innovation within the team

- Work with cross-functional teams to enhance service offerings

- Identify market trends to capitalize on emerging opportunities

- Promote leading practices in data analytics and machine learning

- Mentor team members to cultivate their professional development

What You Must Have

- Bachelor's Degree

- 12 years of experience

What Sets You Apart

- Master's Degree in Computer Science, Engineering, Data Processing/Analytics/Science preferred

- Demonstrating thought leadership in AI/ML-powered services

- Leading large-scale AI/ML and data engagements

- Driving enterprise pursuits and crafting compelling proposals

- Developing and scaling AI/ML service capabilities

- Mentoring diverse, multidisciplinary teams

- Engaging C-level stakeholders for digital transformation

- Fostering a culture of innovation and improvement

- Proven familiarity with agentic AI frameworks and tools

Learn more about how we work: https://pwc.to/how-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.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $142,500 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Client-provided location(s): Milwaukee, WI, USA; Atlanta, GA, USA; Kansas City, MO, USA; Columbus, OH, USA; Houston, TX, USA; Oklahoma City, OK, USA; Boston, MA, USA; San Antonio, TX, USA; Fort Worth, TX, USA; Birmingham, AL, USA; Little Rock, AR, USA; Detroit, MI, USA; Seattle, WA, USA; Indianapolis, IN, USA; San Diego, CA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Philadelphia, PA, USA; Phoenix, AZ, USA; Silicon Valley, CA, USA; New York, NY, USA; Portland, OR, USA; Cleveland, OH, USA; Charlotte, NC, USA; Raleigh, NC, USA; Sacramento, CA, USA; Richmond, VA, USA; Baltimore, MD, USA; Minneapolis, MN, USA; Washington, DC, USA; Tampa, FL, USA; Las Vegas, NV, USA; Los Angeles, CA, USA; Austin, TX, USA; Grand Rapids, MI, USA; Nashville, TN, USA; Miami, FL, USA; Dallas, TX, USA; New Orleans, LA, USA; Denver, CO, USA; Chicago, IL, USA; Des Moines, IA, USA; Salt Lake City, UT, USA; Cincinnati, OH, USA; Buffalo, NY, USA; Jacksonville, FL, USA; Albany, NY, USA; Toledo, OH, USA; Hartford, CT, USA; Louisville, KY, USA; Tulsa, OK, USA; Columbia, SC, USA; Irvine, CA, USA; Rosemont, IL 60018, USA; Greensboro, NC, USA; Florham Park, NJ, USA; Spartanburg, SC, USA
Job ID: PricewaterhouseCoopers-626380WD
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • Fitness Subsidies
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
    • Sabbatical
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • 401(K) With Company Matching
    • 401(K)
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Tuition Reimbursement
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program