Industry/Sector
Not Applicable
Specialism
Data Engineering
Management Level
Director
Job Description & Summary
The Opportunity
As a AI & Data Lead - Director you will shape data modernization efforts within our Advisory practice, guiding client conversations and delivery across data engineering, cloud platforms, and AI-enabled analytics. As a Director you will set strategic direction, lead business development, oversee multiple initiatives, and bring executive-level client engagement together with mentoring that helps teams grow and deliver sustained value. In this role at PwC, you will guide work across data platform modernization, ETL, cloud migration, and hybrid environments, helping clients move legacy data environments toward cloud-native architectures across AWS, Azure, Google Cloud Platform, Databricks, and Snowflake.
Responsibilities
- Leading data engineering strategy for cloud modernization initiatives across client engagements
- Designing data architectures, pipelines, and integration patterns for AWS, Azure, Databricks, and Snowflake environments
- Overseeing delivery of data platform modernization work, including migration, consolidation, and performance tuning
- Developing scalable data models, warehouse structures, and transformation logic that support analytics and AI use cases
- Applying database management, indexing, query optimization, and security methods to improve platform reliability
- Guiding teams in building and maintaining data lake and data warehouse solutions that support multiple business needs
- Translating client requirements into engineering roadmaps, delivery plans, and technical solution designs
- Driving adoption of data engineering platforms, automation tools, and agile delivery methods across projects
- Advising on data quality, governance, and infrastructure choices that support long-term platform value
- Influencing technical decisions and shaping solutions that connect business goals with modern data capabilities
What You Must Have
- At least a Bachelor's degree
- At least 9 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating AI-fluency across data engineering and modernization initiatives
- Leading cloud data platform strategy using AWS, Azure, Databricks, or Snowflake
- Translating data architecture vision into scalable client solutions
- Driving data integration, quality, modeling, and pipeline modernization
- Guiding cross-functional teams through strategic delivery and change
- Shaping go-to-market priorities for data modernization offerings
Travel Requirements
Up to 80%
Job Posting End Date
The salary range for this position is: $155,000 - $410,000. 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.
