Data Architect-Senior Manager

Pwc (Crm Experienced Careers Site)

London

Presencial

CAD 150.000 - 190.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Empowered flexibility
Private medical cover
Volunteer days

Descripción de la vacante

PwC is expanding its Data & AI Consulting team, seeking a Senior Manager to lead architecture for enterprise data platforms and AI-enabled data capabilities. You will partner with Data Engineers, AI specialists, and business SMEs to design scalable solutions that deliver measurable business value across cloud environments.

Join a collaborative and entrepreneurial team delivering data-driven architectures, governance, and strategic roadmaps.

Formación

  • Proven experience in enterprise architecture and delivering data architectures.
  • End-to-end data architecture design across ingestion, modelling, lineage, quality, and MDM.
  • Experience selecting data/integration technologies and articulating ROI to clients.
  • Knowledge of data governance, lineage, quality frameworks, and MDM in modern data platforms.
  • Track record delivering client engagements and building trusted relationships.
  • Strong consulting foundations: communication, problem-solving, and adaptability.
  • Experience designing data solutions to support AI and analytics initiatives.

Responsabilidades

  • Lead the design of enterprise data architectures underpinning analytics, AI, and digital transformation.
  • Define end-to-end data architecture strategies spanning integration, modelling, lineage, metadata, and governance.
  • Shaping data workstreams and delivery approaches across Azure, AWS, GCP, or Snowflake environments.
  • Collaborate with cross-functional squads to design, build, and assure data-driven architectures.
  • Engage with client stakeholders to define data requirements, technology options, and value realization.

Conocimientos

Enterprise architecture
Data modelling
Data governance
Master data mgmt
Cloud platforms
Stakeholder collaboration
Agile methodologies
Consulting foundations

Herramientas

Erwin
ER Studio
Informatica
MuleSoft
Snowflake

Descripción del empleo

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Senior Manager

Job Description & Summary

About the role: 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.

We’re looking for self-starting, progressive, and inquisitive individuals who want to shape the future of how AI is applied in real business contexts. You’ll join a collaborative and entrepreneurial team that combines deep technical expertise with sector knowledge and product thinking. We work in cross-functional squads to design, build, and launch solutions that create measurable impact for our clients and strengthen PwC’s position as a leader in trusted, responsible AI.

If you want to apply your skills to complex challenges, help define new products, and be part of an ambitious team that’s re-imagining the role of AI in professional services, this could be the role for you

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) including
  • 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.

Education

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

Certifications

(if blank, certifications not specified)

Required Skills
Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Creativity, Data Access Design, Database Administration, Database Development, Database Management System (DBMS), Data Development, Data Integration, Data Lake, Data Modeling, Data Virtualization, Data Warehouse Architecture, Data Warehousing (DW), Data Warehousing Frameworks, Data Warehousing Implementation, Data Warehousing Lifecycle, Data Warehousing Trends, Embracing Change, Emotional Regulation, Empathy {+ 17 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

December 17, 2025

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