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.
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.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model 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 Marketing Technology team you lead large-scale marketing technology transformation programs, helping clients modernize how they connect with their customers through data, technology, and experience. As a Senior Manager, you drive results by overseeing the design and architecture of marketing ecosystems, while leveraging your influence to guide conversations that span data models, APIs, and cloud architecture. This role offers the chance to shape enterprise architectures and implementation strategies that enhance client relationships and deliver innovative solutions in a rapidly evolving marketing landscape.
Responsibilities
Develop and implement strategies for enterprise architecture
Oversee integration of analytics and customer data platforms
Drive innovation in content management and campaign management
Work with cross-functional teams to achieve project goals
Maintain alignment of technology solutions with client objectives
Foster a culture of ongoing improvement and operational excellence
Oversee the design and architecture of marketing ecosystems
What You Must Have
Bachelor's Degree
At least 7 years of experience in marketing technology strategy, architecture, and delivery within a consulting, agency, or enterprise environment
What Sets You Apart
Master's Degree in Computer Science, Management Information Systems, Marketing preferred
Experience developing and managing large martech transformation programs
Familiarity with data privacy and governance frameworks
Understanding of Adobe ecosystem integration with enterprise CRM
Consulting experience with cross-industry clients
Working with senior marketing and technology leaders
Translating complex marketing requirements into technology blueprints
Overseeing multi-disciplinary teams through end-to-end delivery
Building executive-level relationships and providing counsel
Leading the definition and execution of enterprise marketing technology strategies and roadmaps, aligning marketing, IT, and data functions around a unified digital vision
Demonstrating success in client relationship management, business development, and team leadership
Experience with Adobe Experience Cloud, including AEM, Adobe Target, and Adobe Analytics
Demonstrating hands-on experience with AI solutions that support efficiency with day-to-day work as well as innovation, process design, and technology strategy for large organizations
The salary range for this position is: $124,000 - $280,000. 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.
