Job Description

About

the

role

Our

Financial Services Technology Data and

Resilience

(TDR)

team

helps

FS

firms

navigate

a fast-

moving

regulatory

landscape

while

helping

them

to

manage

complex

data

and

technology

environments

.

From

shaping

data

strategies

to

uplifting

their

data

maturity

through

enhanced

data

management

practices

,

we

combine

deep

sector

insight

with

leading

technology

to

solve

problems

alongside

our

clients

.

Key

Responsibilities

Data Strategy: Lead the development of enterprise-wide data strategies, data policies, and operating models, embedding sustainable data management and AI practices while ensuring compliance with global regulatory standards and aligning with sector-specific operational requirements.

Data Governance: Advise clients on improving data quality, lineage, and controls to address regulatory gaps, strengthen internal oversight, and enhance data governance capabilities. This includes enabling greater confidence in reporting, analytics, and the adoption of AI.

Transformation: Support front and back-office transformation initiatives by improving data architecture to enhance pricing claims automation, regulatory reporting, customer insights, and risk management. Lead delivery teams on complex change programs from solution design to managing onshore and offshore technical delivery teams, fostering business insights, transformation and innovation.

AI Integration: Leveraging AI and automation to improve scalability and performance in data management and implementation activities, such as data discovery, data quality monitoring, and policy enforcement.

Business Development: Deliver added value to clients by identifying opportunities and offering insights and solutions to enhance their data governance and management strategies. Collaborate across PwC and with clients to achieve sustained outcomes across the full data lifecycle--from assessment and design to implementation and optimization.

StakeholderManagement: Exhibit strong written and verbal communication skills to articulate policies, strategies, and regulatory expectations. Provide clear recommendations and engage with key stakeholders in both business and technology segments, bringing clarity and direction to senior stakeholders.

Project Leadership: Demonstrate the ability to lead engagements and teams effectively to meet key client requirements and regulatory demands. Oversee delivery and foster the growth of diverse and technologically adept teams, integrating AI and technological tools to optimize performance.

Change Management: Actively contribute to the execution of business change and risk transformation projects, potentially managing concurrent client programs. Report updates to Senior Managers and above while developing strategies to address complex technical challenges, assisting firms in rethinking their approach to risk and control and implementing effective and lasting change.

Client Relationships: Build and maintain strong client relationships, identifying opportunities to expand engagement with both new and existing clients.

Skills and Experience:

Expertise in Insurance or Banking sector, enable clients to modernise and future proof their data capabilitiesby designing strategic operating models and deploying fit-for-purpose tools and platforms.

Extensive experience in Consulting or advisory experience to navigate complex industry-specific data challenges, including regulatory scrutiny, evolving customer expectations, and legacy operating models.

Good understanding of the data governance eco system within Insurance or banking sector to facilitate strategic and technological transformations to enhance data governance capabilities.

Utilize your understanding of regulatory drivers such as Solvency II and IFRS 17, alongside data management frameworks like DAMA and DCAM, to aid clients in crafting sustainable data strategies with effective governance, helping insurers and banks alike enhance their data maturity, governance, and reporting practices through innovative and sustainable means.

Familiarity with insurance markets and regulations (e.g., Solvency II, IFRS 17, PRA) and exposure to cloud data environments and modern data architectures is preferred.