PRINCIPAL, TECHNOLOGY ENGINEERING

Data Science ManagerAt 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. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:Analyse and identify the linkages and interactions between the component parts of an entire system.Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.Uphold 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.As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. Responsibilities:Mentor junior engineers and foster their growthMaintain security and scalability of AI-powered solutionsCollaborate with cross-functional teams to achieve project goalsStay at the forefront of technological advancements in AIWhat You Must Have:Bachelor's DegreeAt least 6 years of experience in software, platform, or cloud engineering, including people leadershipIn lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of collegeWhat Sets You Apart:Master's Degree preferredDemonstrating proven experience leading cloud and platform engineering teamsOffering hands-on experience with Azure, DevOps, and enterprise integration patternsBringing systems thinking to design end-to-end platformsCoaching and mentoring engineers to foster a culture of excellenceManaging delivery plans, dependencies, and risks effectivelyOperating production platforms with a focus on reliability and securityWorking with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilitiesDefining and enforcing automated testing strategiesArchitecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line)Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategyTravel Requirements: Up to 20%Job Posting End Date: 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: