CTIO - AI Engineer- Senior Manager

Industry/SectorNot ApplicableSpecialismIFS - Information Technology (IT)Management LevelSenior ManagerJob Description & SummaryThe OpportunityAs 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 pipelinesWhat You Must Have- At least a Bachelor's degree- At least 7 years of experienceWhat 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 challengesTravel RequirementsUp to 20%Job Posting End DateThe 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: 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: more about how we work: 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: NY-New York; NC-Raleigh; IL-Chicago; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; WA-Seattle; SC-Spartanburg; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; FL-Boca Raton; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; VT-Montpelier; TN-Nashville; LA-New Orleans; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time