At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.<br><br>In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.<br><br>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. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.<br><br><strong>Skills<br><br></strong>Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<br><br>Analyse and identify the linkages and interactions between the component parts of an entire system.<br><br>Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.<br><br>Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.<br><br>Develop skills outside your comfort zone, and encourage others to do the same.<br><br>Effectively mentor others.<br><br>Use the review of work as an opportunity to deepen the expertise of team members.<br><br>Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.<br><br>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.<br><br>The Opportunity<br><br>As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations. This is an exciting opportunity to leverage your knowledge in data governance and analytics to make a significant impact on our clients' success.<br><br><strong>Responsibilities<br><br></strong><ul><li> Lead the creation and execution of data governance strategies</li><li> Supervise and mentor team members to enhance their skills</li><li> Manage client accounts and confirm deliverables meet quality standards</li><li> Analyze data to inform business decisions and drive growth</li><li> Foster collaboration within teams to enhance engagement workstreams</li><li> Uphold the firm's methodologies and confirm compliance with standards</li><li> Identify areas for enhancement in data management processes</li><li> Encourage innovative approaches to enhance data-driven solutions<br><br></li></ul>What You Must Have<br><br><ul><li> Bachelor's Degree</li><li> At least 5 years of experience<br><br></li></ul>What Sets You Apart<br><br><ul><li> AWS Certified Data Analytics / Solutions Architect</li><li> Azure Data Engineer / Azure Solutions Architect</li><li> Google Professional Data Engineer</li><li> DAMA CDMP (Certified Data Management Professional)</li><li> Informatica Certified Professional</li><li> Alation Certified Data Catalog Professional</li><li> Collibra Certified Ranger/Steward/Professionals</li><li> SAP Certified Application Associate – SAP Master Data Governance (MDG)</li><li> SnowPro Core / SnowPro Advanced</li><li> Databricks Certified Data Engineer / Data Analyst / ML<br><br></li></ul>The salary range for this position is: $99,000 - $232,000. 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: 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. <br><br>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.<br><br>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: