Adobe Transformation – Manager

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity As an Adobe Transformation – Manager, you will leverage advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Within our Data and Analytics practice, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.

You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You are responsible for coaching, leveraging team members' 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. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same. In this role, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will also address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.

Responsibilities - Leading data analysis workstreams to drive insights and support strategic decision-making - Utilizing advanced analytics techniques to extract meaningful insights from complex datasets - Developing and implementing data-driven solutions to optimize client operations - Experience with Adobe Experience Cloud, including RT-CDP, AJO, CJA, Marketo, AEM Assets, and/or Workfront - Managing and mentoring teams to leverage their strengths and deliver quality outcomes - Collaborating with stakeholders to identify opportunities for data utilization and business improvement - Building

and maintaining data visualization dashboards using tools like Tableau and Power BI - Conducting exploratory data analysis to uncover trends and inform predictive modeling efforts - Confirming data integrity and security within analytics frameworks - Applying statistical modeling and machine learning techniques to enhance data analysis capabilities - Facilitating the integration of innovative technologies and practices across data analytics teams What You Must Have - At least a Bachelor's degree - At least 5 years of experience What Sets You Apart - Preference for at least one of the

following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance - At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Demonstrating proficiency in data analysis and visualization tools - Utilizing advanced skills in machine learning and predictive analytics - Excelling in complex data analysis and algorithm development - Managing projects with strategic planning and execution -

Embracing technology and innovation to enhance client solutions Travel Requirements Up to 40% 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-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. To view other PwC job opportunities, visit pwc.com/careers. Do not click on the "Search for Jobs" button. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC.

Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

• Bachelor's degree and minimum 5 years of relevant experience
• Proficiency in data analysis, visualization tools, and advanced analytics techniques
• Experience with Adobe Experience Cloud and managing teams to deliver quality outcomes