Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
As part of the Data and Analytics Engineering team you are expected to develop and implement data-driven strategies to drive business growth and enhance decision-making. As a Director you are responsible for setting the strategic direction and leading business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves defining data management and governance strategies, collaborating on transformation projects, and leveraging modern cloud data architectures to align data initiatives with organizational goals.
Responsibilities
- Develop and implement data-driven strategies to enhance business growth
- Set strategic direction for data initiatives and lead business development
- Oversee multiple projects while maintaining executive-level client relations
- Define data management and governance strategies
- Collaborate on transformation projects to align with organizational goals
- Leverage modern cloud data architectures for enhanced data alignment
- Drive impactful decision-making processes
- Foster an environment where people and technology thrive together
What You Must Have
- Bachelor's Degree
- 10 years of experience
What Sets You Apart
- Azure Data Fundamentals or Azure Data Engineering certifications preferred
- Developing data-driven strategies for business growth
- Defining data management and governance strategy
- Conducting regular data/analytics strategy refresh
- Collaborating on strategy and transformation projects
- Understanding modern cloud data architectures
- Implementing cloud data architecture and integration patterns
- Applying knowledge in Big Data engineering and ETL/ELT
- Designing advanced analytics solutions and AI/ML models
Learn more about how we work: 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: All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. 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: The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: #LI-HybridJob Number: : Job Field : Primary Location : : Schedule : Shift : : : Posting Start Date : Posting End Date : : : : : Refer a friend for this job Refer a candidate
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