Pim Jobs (NOW HIRING)

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.
Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations, including data acquisition, transformation, and loading processes, to enable the smooth functioning of data management systems and processes.
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.
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.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
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.
The Opportunity
As part of the Data Management team, you will architect and oversee enterprise-wide Product Information Management (PIM) solutions. As a Manager, you will lead business development and client engagement efforts related to product data management, securing alignment with business goals and driving innovation in product data practices.
Responsibilities
- Design and implement enterprise-wide Product Information Management solutions
- Lead business development initiatives and client engagement strategies
- Confirm product data management aligns with organizational objectives
- Drive innovation in product data practices and methodologies
- Collaborate with cross-functional teams to enhance data quality
- Mentor team members to develop their skills and capabilities
- Analyze and enhance processes for improved productivity
- Uphold exceptional standards of quality in deliverables
What You Must Have
- Bachelor's Degree
- At least 5 years of experience in Data Management
What Sets You Apart
- Hands-on experience with leading PIM platforms preferred
- Proven ability to design and implement product data taxonomies
- Architecting end-to-end PIM solutions and managing product data lifecycle
- Understanding of PIM integration with data quality initiatives
- Functional business knowledge in retail, manufacturing, or e-commerce preferred
- Translating complex product data challenges into actionable use cases

Travel Requirements

Up to 80%

Job Posting End Date

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: https://pwc.to/benefits-at-a-glanceAs PwC is anequal 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-workFor 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