Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Manager

Job Description & Summary

The Data & Analytics Lead will drive the development and execution of the firm’s internal data & analytics strategy within the Chief Data Office, enabling trusted, scalable, and business‑aligned use of data to deliver insights, reporting, and advanced analytics outcomes. This role is responsible for leading the in-house Data & Analytics pillar, establishing frameworks, standards, and delivery capabilities that support high‑quality, governed data consumption across the organisation.

They will be accountable for translating the firm’s data strategy into actionable analytics use cases, delivering insights that support decision-making, defining the standards for internal reporting and analytics, operational efficiency, and innovation including AI driven initiatives. The role works across all Lines of Service and enabling functions to deliver consistent, reusable analytics solutions aligned with enterprise data platforms.

In addition, this role will shape, build, and lead the Data & Analytics capability within the CDO, defining the team structure, required skill sets, and operating model to support current and future demand.

Working in partnership with business stakeholders, data domain owners, and technology teams, this role will define and deliver analytics products, dashboards, and data services.

Key responsibilities include:

Data & Analytics Service Leadership

Define and lead the Data and Analytics pillar strategy, service delivery model, roadmap of analytics initiatives, use cases, data products, and operational priorities in alignment with firm and global data priorities.

Develop and manage service delivery, roadmap of analytics initiatives, use cases, and data products.

Establish KPIs and success measures to track adoption and value.

Partner with Data Domain Owners, Governance, technology architecture teams, and business stakeholders to align analytics priorities, delivery plans, and data product requirements.

Lead operational planning and prioritisation.

Team build & capability development

Lead, coach, and mentor cross-functional analytics teams, including offshore team members, to build capability and delivery confidence.

Define and evolve the Data and Analytics team structure, roles, skills, capacity, ways of working, and delivery models needed to meet current and future demand.

Identify required roles, skills, and capacity

Lead recruitment, onboarding, and development of analytics talent

Establish ways of working and delivery models

Coach and mentor team members.

Analytics delivery & use case development

Lead the design and delivery of analytics products by partnering with business teams to identify use cases and translate requirements into reporting and analytics solutions.

Partner with business teams to identify use cases.

Translate business requirements into reporting and analytics solutions.

Drive the adoption of self-service analytics.

Data products & insights enablement

Define and manage analytics data products with a focus on firm and Global data requirements.

Ensure consistency and quality of curated datasets.

Enable advanced analytics and AI use cases.

Promote reuse of analytics assets.

Governance, quality & risk

Ensure analytics outputs align with governance and regulation

Align on data quality standards aligned with firm and Global requirements

Embed data quality controls

Define and implement reporting standards

Support auditability

Implementation & delivery oversight

Oversee end-to-end delivery

Ensure future-proof design, performance and scalability

Drive continuous improvement

Education/Professional Qualifications

Candidates to have minimum a third level qualification in Data and Analytics

Experience Required:

6+ years’ experience in data analytics

Proven experience delivering analytics solutions and leading teams

Understanding of data governance and data management

Technical Skills

Strong data analysis skill using SQL and Excel

Experience of Power BI development, SAC experience desirable

Familiarity with cloud platforms, Databricks and data mesh concepts

Awareness of AI/ML concepts

Personal Qualities

Excellent communication skills both verbal and written, with storytelling

Excellent stakeholder management and communication skills

Ability to translate business and functional requirements to technical requirements

Ability to handle multi-tasking environment, meet deadlines, and work with a wide range stakeholders

Ability to develop business relationships internally and externally

Proactive work approach and ability to demonstrate good judgement

Demonstrates enthusiasm & commitment to work

Our commitment to you
We’re committed to building an inclusive culture that empowers our people to thrive and feel a sense of belonging at PwC. We seek to attract talented people from different backgrounds with diverse perspectives who can bring innovation and creativity. At PwC, your hard work doesn't go unnoticed. We celebrate your achievements not just within the firm, but among your peers as well. Our rewards are designed to fit your unique lifestyle and needs. And because being part of PwC should be rewarding every day, you'll have access to PwC perks a handpicked selection of exclusive discounts, experiences, and extras just for being part of our team.

Application support
We are committed to an inclusive recruitment experience. If you require any adjustments during the application or interview process, please let us know (ie_experiencedhireteam@pwc.com). All requests will be treated confidentially and supported wherever possible to help you showcase your strengths.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Coaching and Feedback, Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Data & Analytics Lead - Manager

Benefits

Job Description