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Delivery Excellence - AI Engineer - Senior Manager

PwC

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PwC

Delivery Excellence - AI Engineer - Senior Manager

Onsite New York City, NY, United States Junior
Posted 2 months ago
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Watch this video to learn more about PwC

Job Details

Specialty/Competency: Data Science
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%

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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

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

  • Craft and convey clear, impactful and engaging messages that tell a holistic story.
  • Apply systems thinking to identify underlying problems and/or opportunities.
  • Validate outcomes with clients, share alternative perspectives, and act on client feedback.
  • Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
  • Deepen and evolve your expertise with a focus on staying relevant.
  • Initiate open and honest coaching conversations at all levels.
  • Make difficult decisions and take action to resolve issues hindering team effectiveness.
  • Model and reinforce 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 AI Engineering team you will lead the creation and delivery of innovative data solutions that harness the power of generative AI and cloud-native technologies. As a Senior Manager, you will serve as a strategic advisor, guiding teams through complex challenges while fostering a culture of excellence and collaboration. This role offers the chance to influence the future of AI applications, driving impactful results for clients and contributing to the firm's success.

Responsibilities

- Lead the development and implementation of advanced data solutions

- Secure the delivery of impactful results through strategic project management

- Cultivate meaningful relationships with stakeholders to align on objectives

- Utilize cloud-native technologies to enhance operational effectiveness

- Mentor and develop team members to build top-performing groups

What You Must Have

- Bachelor's Degree

- At least 10 years of experience

What Sets You Apart

- Proven experience in AI application development

- Demonstrating thought leadership in advanced AI domains

- Building intuitive storytelling and analytics tools

- Evaluating model performance using key metrics

- Familiarity with API evaluation and testing tools

- Developing rapid proofs-of-concept solutions

- Applying generative AI concepts to architect solutions

- Designing LLM solutions using Python


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.



The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
Required Skills
  • Data Science
  • Machine Learning
  • Advanced Analytics
  • Predictive Modeling
  • Statistical Analysis
  • Data Visualization
Company Details
PwC
 United States
Work at PwC

At PwC, we combine people and technology to tackle the world’s biggest challenges. With offices in 149 countries and more than 370,000 people, we... Read more

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