CTIO - AI Engineer- Senior Manager

Posted 8 Hours Ago
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60 Locations
Hybrid
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.
Summary Generated by Built In
The Opportunity
As a CTIO - AI Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams.
In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Your ability to validate outcomes with clients, share alternative perspectives, and act on client feedback will be crucial. You will direct teams through complexity, demonstrating composure in challenging situations, and deepen your skills with a focus on staying relevant.
Responsibilities
- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
- Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions
- Overseeing the implementation of machine learning algorithms and predictive modeling techniques
- Collaborating with clients to validate outcomes and incorporate feedback into data solutions
- Directing teams through complex projects, maintaining composure in challenging situations
- Applying systems thinking to identify underlying problems and opportunities within data sets
- Coaching and motivating diverse teams to achieve operational excellence in data science initiatives
- Innovating processes to enhance data quality and integrity across analytics frameworks
- Utilizing programming languages and machine learning libraries to optimize data workflows and pipelines
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating advanced skills in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leading teams through ambiguity with strategic questioning
- Innovating processes with data-driven decision making
- Applying systems thinking to identify opportunities and challenges
The salary range for this position is: $91,000 - $321,500. 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
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.
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.
Learn more about how we work: https://pwc.to/how-we-work
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

Skills Required

  • Bachelor's degree
  • At least 7 years of experience
  • Advanced skills in data science algorithms and workflows
  • Experience utilizing machine learning and deep learning techniques
  • Experience in complex data analysis and predictive modeling
  • Proven ability to lead and coach teams through ambiguity
  • Experience applying systems thinking and innovating analytics processes
  • Experience using programming languages and machine learning libraries to optimize data workflows

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Retirement Support An employer-funded Wealth Builder contribution sits alongside the 401(k), a distinctive feature that strengthens long-term savings and is highlighted as a clear plus.
  • Parental & Family Support Policies include 12 weeks of paid leave for all parents with a phased return, along with support for fertility, surrogacy/adoption, and childcare resources.
  • Wellbeing & Lifestyle Benefits Mental-health commitments, coaching and app access, fitness programs, hybrid flexibility, and firmwide U.S. shutdown weeks underscore a strong focus on wellbeing, with recent recognition for excellence in health and well-being.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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