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PwC

Managed Services - AI Operations - Director

Posted 7 Days Ago
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Remote
Hybrid
64 Locations
143K-317K Annually
Senior level
Remote
Hybrid
64 Locations
143K-317K Annually
Senior level
Lead AI and ML managed services, drive business growth, mentor leaders, and oversee client engagements while ensuring quality and integrity.
The summary above was generated by AI

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.
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 lead the delivery of managed services for AI and machine learning systems across various cloud platforms. As a Director you will set the strategic direction, drive business growth, and maintain impactful executive-level client relations while overseeing multiple projects.
Responsibilities
- Oversee multiple initiatives to secure alignment with organizational goals
- Promote collaboration within the Data and Analytics Engineering team
- Identify market opportunities and convert them into successful outcomes
- Encourage a culture of creativity and problem-solving among team members
- Assess adherence to professional standards and practices in service delivery
What You Must Have
- Bachelor's Degree
- 12 years of experience
What Sets You Apart
- Preferred field(s) of study: Computer Science, Engineering
- ITIL Certification preferred
- Demonstrating thought leadership in AI/ML systems
- Leading managed services delivery for cloud-native ML solutions
- Overseeing operational health of AI/ML platforms
- Managing client relationships in steady-state delivery environments
- Driving process improvement through automation
- Working with leadership to evolve support models
- Proficiency in observability tools and AI/ML monitoring platforms
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

Top Skills

AI
Cloud Platforms
Ml
Observability Tools

PwC Charlotte, North Carolina, USA Office

214 North Tryon Street Suite 4200, Charlotte, NC, United States, 28202

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