PwC
Data Architect- Senior Manager
United Kingdom · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationUnited Kingdom
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Manager
Job Description & Summary
About the role:
We are seeking a highly experienced and strategic Data Architect to lead and optimise our data architecture initiatives, focusing on enhancing our industry presence within the insurance sector. This role will require you to apply your extensive experience to design, implement, and govern scalable, high-performance data solutions that meet the needs of our clients.
Your expertise will foster collaboration between technical and business stakeholders, ensuring data strategies are aligned with the overall business objectives and industry best practices. You will play a crucial role in driving innovation and improving data-driven decision-making processes within the organisation and client implementations.
Show full description
What your day will look like:
Architectural Design & Strategy
Develop and execute comprehensive data strategies that align with business goals, focusing on the design and maintenance of scalable data architectures.
Implement industry-leading data governance practices to ensure data quality, integrity, and security.
Design data architectures that enable seamless data access and integration and support advanced analytics, machine learning and agentic AI solutions.
Technology Implementation
Apply your knowledge of the insurance industry to drive data initiatives that enhance decision making, improve operational efficiency and enforce regulatory compliance.
Utilise cutting-edge technologies such as Databricks, Snowflake, Data Lake, Data Warehouse and Lakehouse to build effective data infrastructure.
Leverage expertise in SQL and Database Management to optimise database management and performance, supporting scalable data operations.
Advocate for the adoption of data mesh principles, enhancing data accessibility and flexibility across the global organisation.
Oversee the integration of AI technologies within the overall data architecture, ensuring seamless delivery of AI-driven products and services.
Collaboration & Stakeholder Management
Work closely with clients to understand their data requirements, providing strategic insights and solutions tailored to the insurance domain.
Foster cross-functional partnerships with clients, actively engaging with departments such as sales, operations, finance, underwriting, and actuarial teams.
Ensure alignment between technical architectures and business objectives, translating complex data concepts into actionable insights.
Continuous Improvement & Innovation
Proactively stay current with emerging AI and data technologies and industry trends, driving continuous improvement of the data architecture.
Foster a culture of innovation, promoting best practices and championing a collaborative team environment.
This role is for you if:
Advanced experience as a Data Architect or in a similar role with a proven track record of developing and implementing successful data strategies within large, complex organisations.
Strong background in SQL, Data Solutions and solution architecture for data frameworks such as data lakes and warehouse
Exceptional leadership, communication and interpersonal skills.
Strong background in Insurance domain
Expert knowledge of AwS or Azure technologies.
What you’ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
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, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 46 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 60%
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
Job Posting End Date
January 20, 2026
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
SQL Snowflake AWS Azure Machine learning Stakeholder management