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 Data and Analytics team you oversee development and validation of econometric, statistical, and AI/ML models, leading intricate projects and inspiring teams. As a Senior Manager, you lead significant projects and enhance processes, focusing on achieving results and maintaining operational excellence. You interact with clients at a senior level, utilizing your influence and knowledge to deliver quality results, while developing top-performing, diverse, and inclusive teams.
Responsibilities
- Lead the development and validation of advanced econometric, statistical, and AI/ML models
- Drive complex projects to successful completion, maintaining operational excellence
- Engage with clients at a senior level to deliver impactful results
- Foster the growth of diverse and inclusive teams
- Innovate processes to enhance project outcomes
- Motivate teams to achieve exceptional performance
- Apply strategic thinking to solve intricate problems
What You Must Have
- Bachelor's Degree
- 7 years of experience
What Sets You Apart
- Doctor of Philosophy in Econometrics, Economics, Statistics, Mathematical Economics, Mathematical Statistics, Quantitative Finance preferred
- Proficiency in econometric, statistical, and AI/ML modeling
- Proficiency in Python, SAS, R, SQL, Excel/VBA, and Access
- Leading and mentoring geographically dispersed virtual teams
- Building reliable client relationships and developing opportunities
- Managing technical and logistical aspects of diverse projects
- Proficiency in model risk management concepts and practices
- In-depth knowledge of rules and regulations like SR11-7/OCC 11-12
Learn more about how we work: https://pwc.to/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: https://pwc.to/H-1B-Lottery-Policy.
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.
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.
The salary range for this position is: $124,000 - $280,000, 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, 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
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What We Do
Build what’s next — with tech that matters
PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes.
As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions.
You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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