At a Glance
- Tasks: Lead the design of enterprise data architectures for AI and digital transformation.
- Company: PwC’s Data & AI Consulting team, a market leader in AI services.
- Benefits: Flexible work arrangements, private medical cover, and volunteering days.
- Other info: Join a dynamic team with opportunities for career growth and innovation.
- Why this job: Shape the future of AI products and drive real business value.
- Qualifications: Experience in enterprise architecture and strong consulting skills required.
The predicted salary is between 135000 - 165000 $ per year.
PwC’s Data & AI Consulting team is rapidly expanding as we invest in building a new generation of Artificial Intelligence (AI) products that transform how we deliver value to our clients. We’re recognised by industry analysts, such as Gartner and IDC, as a market-leading Data & AI services consultancy and are actively working with clients to design, develop and deliver AI-powered products and data capabilities that achieve tangible outcomes and business value.
What Your Days Will Look Like:
- Leading the design of enterprise data architectures that underpin modern analytics, AI, and digital transformation programmes - shaping how data is ingested, modelled, governed, and served across cloud platforms.
- Defining end-to-end data architecture strategies, covering integration approaches, data modelling patterns, lineage, quality, metadata management, and master data management, ensuring solutions are secure, scalable, and aligned to enterprise vision.
- Conducting architectural discovery, shaping data workstreams, and defining technical delivery approaches for client programmes across Azure, AWS, GCP or Snowflake environments.
- Working as part of cross-functional product squads - including Data Engineers, Data Strategist, AI specialists, and Business SMEs - to design, build, and provide technical assurance for data-driven architectures.
- Partnering with client stakeholders to understand business challenges, define data requirements, evaluate technology options, and shape investment decisions through clear articulation of value and return on investment.
- Collaborating closely with engineering teams to translate data architecture designs into buildable solutions, overseeing modelling, pipelines, integration patterns, and platform services through to delivery.
- Contributing to data strategy, architectural roadmaps, and platform evolution, helping clients modernise their data landscape and strengthen their analytics and AI capabilities.
This Role Is For You If:
- Proven experience in enterprise architecture, including full lifecycle experience designing and delivering platform agnostic data architectures, leading cross-functional teams to build data models, pipelines, and semantic layers that drive business value.
- Strong commercial awareness, with the ability to link data modelling decisions to business outcomes, sector-specific challenges, and broader market trends.
- Experience selecting data and integration technologies at project or enterprise level, and confidence in articulating pros, cons, and ROI to client stakeholders.
- Deep understanding of data governance, lineage, quality frameworks, and master data management, and their role within a modern data platform.
- A track record of delivering high-quality client engagements and building trusted relationships with both internal and external stakeholders.
- Strong consulting foundations: impactful communication, structured problem-solving, adaptability, and the ability to navigate ambiguity and deliver under pressure.
- Design expertise in core data architecture disciplines including data modelling (proficient in at least one data modelling tool e.g. Erwin or ER Studio), metadata management, data migration and master data management.
- Well versed in data architecture approaches to ingest, model and serve data from various sources including ERP (Oracle, SAP etc.), CRM (Salesforce, etc.) and HR systems (Workday etc.).
- Practical knowledge of core data ETL and visualisation skills - for example using non-structured and structured storage and database solutions native to the cloud providers.
- Advanced technical skills, in one or more of the following areas: Master Data Management tools such as Informatica, writing API specs in JSON and integrating with tools such as MuleSoft.
- Experience in Agile delivery and Agile techniques, such as Scrum and Kanban.
- Experience working with clients to develop data strategies for business transformation, such as designing a Data/Analytics Operating model, Information Governance organisation, or exploring the shift to cloud native 3rd party solutions.
- Experience designing data solutions to support Artificial Intelligence (AI) and Agentic AI products.
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.
Data Architect – Senior Manager in London employer: PwC UK
As a leading employer in the tax advisory sector, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer extensive training opportunities and mentorship programs, ensuring that you can grow your career while working with a diverse range of clients in a dynamic environment. Our flexible working arrangements and comprehensive benefits package, including private medical cover and volunteering days, make us an attractive choice for those seeking meaningful and rewarding employment in the heart of the city.
