Senior Manager, Risk & Quality Data Science

Specialty/Competency: IFS - Risk & Quality (R&Q)

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

At PwC, our data and analytics engineers are committed to utilizing advanced technologies to create innovative data solutions that empower clients to make informed decisions and fuel business growth. Join us as a Senior Manager within our Risk & Quality Data Science team, where you will leverage your expertise to turn data into actionable insights that drive strategic decision-making.

In this role, you will cultivate your leadership skills as you guide cross-functional teams, mentoring team members while fostering a culture of excellence and innovation in analytics. You will navigate complex business challenges, apply critical judgment, and communicate effectively to ensure alignment and clarity among stakeholders.

The Opportunity: You will lead predictive analytics initiatives addressing risk and quality use cases, serving as a hands-on analytical lead and strategic partner. Your role will include formulating questions around data, recommending modeling approaches, and delivering insights that are ready for decision-making.

Key Responsibilities:

• Evaluate data limitations and propose solutions for actionable insights.
• Collaborate with diverse teams to drive data-driven decision making.
• Apply sound judgment throughout analytical processes.
• Mentor team members to build their analytical skills.
• Encourage a culture of continuous improvement and innovation in analytics.

What You Must Have:

• High School Diploma.
• A minimum of 6 years of experience in risk, compliance, or relevant fields.

What Sets You Apart:

• A Master’s Degree in Data Processing, Analytics, Science, Computer and Information Science, Mathematical Statistics, Artificial Intelligence, Robotics, or Business Administration/Management.
• Extensive experience in analytics, data science, or applied modeling.
• Proven track record of leading end-to-end analytics workstreams.
• Ability to work effectively with evolving or imperfect datasets.
• Demonstrated ability to deliver stable, review-ready outputs.
• Competency in machine learning and predictive analytics tools.
• Excellent communication skills for technical and non-technical audiences.
• Proactive in aligning on project scope and requirements.

Compensation for this role ranges from $91,000 to $321,500, depending on skills, experience, qualifications, and location. Eligible hires can look forward to an annual discretionary bonus. We offer comprehensive benefits, including medical, dental, vision, and retirement plans, along with generous paid time off.

As an equal opportunity employer, we welcome all qualified applicants regardless of background. We prioritize a diverse and inclusive workforce.

We seek individuals who can navigate complex situations with discretion and clarity, ensuring a collaborative and supportive work environment.

Applications will be accepted until the position is filled or the posting is removed. Thank you for considering a career with us!