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VP Technical Product Owner - AI / NLP

London (Shoreditch) - Hybrid - £80,000-£115,000 + benefits



Why this company?

I'm supporting a global financial organisation undergoing a major digital transformation. They're investing heavily in AI, emerging tech, and customer experience and this role sits right at the heart of that.

If you want to work somewhere with genuine scale, complex challenges, and the ability to shape long-term product strategy, this is the type of environment where you can make a massive impact.

You'll be joining a team that's responsible for building next‑generation AI-powered conversational solutions that will directly affect millions of customers. With strong leadership visibility, cross‑functional influence, and the chance to drive cutting-edge innovation, this is an exceptional opportunity for someone who wants to lead from the front.

You'll work with:

In this role, you will be responsible for the technical product vision and delivery of AI-driven platforms. Expect to get involved in:

* Shaping and owning the strategic technical product roadmap
* Acting as the SME between engineering, product, and senior stakeholders
* Leading the development of NLP-driven products and AI-powered customer experiences
* Translating business needs into clear, measurable, secure technical requirements
* Monitoring product performance and driving continuous optimisation
* Bringing new technologies and trends into the product development lifecycle
* Managing risk, governance, and alignment with organisational policies
* Influencing cross-functional teams and leading multi-year assignments
* Coaching, supporting, and developing less experienced specialists
* Making strategic recommendations at VP level



Benefits

This organisation offers a very strong package, including:

* Salary up to £115,000
* Generous annual bonus scheme
* Excellent pension plan
* Private medical cover
* Lifestyle benefits & wellbeing support
* Clear pathways for VP progression
* Large-scale transformation & AI innovation projects
* High visibility across senior leadership

Key experience needed

To be successful in this role, you'll ideally bring:

* Strong experience delivering NLP-based products
* Proven ability to own and drive technical product strategy
* Cross-functional leadership in complex technical environments
* Knowledge of APIs, microservices, and modern architecture
* Experience working with data analytics
* Exposure to GenAI / LLM technologies
* Ability to influence at senior level and operate in a regulated environment
* Strong analytical, problem‑solving, and strategic thinking skills

Want to lead AI innovation at VP level?

This role will move quickly, opportunities like this in AI don't come around often.

Apply now!

Data Platform Consultant

A fast‑growing, forward‑thinking technology Microsoft partnered consultancy is looking for a Data Platform Consultant to join their expanding Data & Analytics practice. This is an exciting opportunity to work on diverse, high‑impact data transformation programmes across both private and public sectors, helping organisations unlock the real value of their data.

You'll play a key client‑facing role in designing and delivering modern data solutions. You'll work closely with technical and non‑technical stakeholders, understand business challenges, and architect secure, scalable data platforms.

You'll work across the full lifecycle - from scoping and design, through implementation, technical assurance, and occasional pre‑sales support. Expect a mix of greenfield and transformation projects, each requiring strong problem‑solving skills and the ability to advise clients confidently.

Key Responsibilities

* Lead and participate in workshops to capture requirements
* Design, build and implement modern data platform solutions
* Provide technical governance and assurance throughout delivery
* Support pre‑sales activities, including bid/tender contributions
* Collaborate with cross‑functional teams delivering end‑to‑end Data & Analytics solutions

Skills & Experience

* Experience delivering data & analytics architectures
* Strong background in data modelling and data engineering
* Expertise with:

* Azure Data Services (Data Factory, Data Lake, Synapse, SQL, Analysis Services)
* Microsoft Fabric & Power BI
* On‑prem equivalents (SSIS, SSAS, SSRS) welcome

* Highly proficient in T‑SQL; experience with M, DAX, Python or PySpark beneficial
* Demonstrable background in client‑facing consultancy roles
* Excellent communication skills and the ability to lead technical and business discussions
* SC Clearance or SC eligible

Benefits:

* Primarily remote working
* Strong focus on professional development and training
* Private healthcare or health cash plan
* 25 days annual leave + your birthday off
* Holiday Purchase
* Pension, life assurance and wellbeing support
* Employee discounts and benefits

Data Platform Consultant - MS Partner - Fabric - Databricks

MS Partner expanding their data practice and looking for a Data Platform Engineering Consultant with partner/consultancy background delivering complex data solutions in the cloud.

You will come with technical expertise across the MS Data Platform (SSIS, SSAS, Data Factory etc) coupled with one of or both MS Fabric/Databricks.

The role is very flexible with some client site travel if required and office attendance once or twice per month in Berkshire. Salary on offer is up to £70,000.

Core benefits of this role include flexible working arrangements, professional development opportunities, and a commitment to fostering inclusivity within the workplace. This position is well-suited for individuals who thrive in innovative environments and are eager to drive impactful data solutions.

If you are passionate about data and looking to make a difference in a collaborative setting, we invite you to apply for this exciting opportunity.

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

* Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
* Define technical standards, best practices, and architectural governance.
* Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
* Run workshops with technical and non-technical stakeholders, including C-level leaders.
* Provide technical leadership across delivery programmes and mentor internal teams.
* Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

* Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
* AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
* Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
* Microsoft Business Applications - Dynamics 365, Power Platform.
* Delivery & Engineering - DevOps, Agile, CI/CD, governance.

Data Architect - Hybrid (2 Days On‑Site Per Week)

Contract Type: Fixed‑Term Contract


About the Role

An exciting opportunity has arisen for an experienced Data Architect to join a growing data function undergoing significant transformation. The successful candidate will shape enterprise‑wide data architecture, ensuring high‑quality, well‑governed, scalable data solutions that support operational, analytical, and regulatory needs.

This role suits someone who is confident designing end‑to‑end data architectures, working across complex technology landscapes, and engaging senior business and technical stakeholders.

Key Responsibilities:

1 Data Architecture & Modelling

* Design conceptual, logical, and physical data models.
* Create and maintain data architecture blueprints covering ingestion, integration, storage, lineage, and consumption.
* Apply appropriate modelling techniques
* Lead design reviews and ensure models align with business needs and domain boundaries.

1 Data Governance & Metadata Management

* Contribute to data governance frameworks, ownership models, and stewardship processes.
* Build and maintain business glossaries, data dictionaries, and metadata standards.
* Ensure adherence to governance policies including lineage, retention, access control, and security.
* Support governance forums and drive consistent data definitions across the business.

1 Data Quality Architecture

* Embed data quality rules and controls across ETL/ELT and streaming pipelines.
* Develop data quality metrics, monitoring frameworks, and alerting mechanisms.
* Work with engineering teams to automate profiling, scoring, and remediation.
* Ensure data quality and lineage are embedded in reusable architectural patterns.

1 Stakeholder Engagement & Requirements Leadership

* Lead discovery sessions to translate business needs into architectural data requirements.
* Communicate architectural decisions to senior stakeholders.
* Navigate ambiguity and align product teams, SMEs, and governance bodies.
* Prepare high‑quality documentation and present to review boards when required.

1 Delivery Governance & Technical Leadership

* Oversee the implementation of data architecture standards across engineering teams.
* Provide technical guidance on integration, ingestion, transformation, orchestration, and storage.
* Conduct design assurance to meet non‑functional requirements (performance, resilience, cost).
* Coach engineers, analysts, and stewards on modelling, governance, and data quality practices.



Skills & Experience

* Proven experience as a Data Architect or Solution Architect with strong data focus.
* Expertise in conceptual, logical, and physical data modelling.
* Strong knowledge of data governance, metadata, stewardship, and glossaries.
* Experience embedding data quality controls and monitoring into pipelines.
* Familiarity with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery, Redshift).
* Ability to manage complex stakeholder landscapes and lead architectural design.
* Ability to create high‑quality architectural artefacts and documentation.

Technical Product Owner (AI & Digital Solutions) - Up to £115,000

Location: London, United Kingdom (Hybrid)

About the Role:
My client is seeking a Technical Product Owner at VP level to lead the evolution of digital and AI-driven solutions. This role is pivotal in shaping next-generation AI-powered conversational platforms, driving innovation, and delivering exceptional customer experiences. You will collaborate with cross-functional teams, influence technical direction, and ensure alignment with strategic priorities.



Key Responsibilities:

* Define and deliver the technical product vision and roadmap in line with business objectives.
* Collaborate with product owners, technical teams, and stakeholders to prioritise requirements and features.
* Drive continuous improvement through testing, performance monitoring, and optimisation.
* Stay ahead of industry trends to adopt innovative technologies and approaches.
* Manage risk and strengthen controls in alignment with governance standards.
* Build strong relationships across internal and external stakeholders to achieve key business outcomes.



What They're Looking For:

* Proven experience in technical product management with a strategic mindset.
* Strong background in NLP-based products and AI-driven solutions.
* Ability to lead cross-functional teams and influence at senior levels.

Highly Valued Skills:

* Understanding of APIs and microservices architecture.
* Knowledge of data analytics, Generative AI, and LLMs.
* Strong business acumen and risk management capabilities.



Why Join:

* Opportunity to lead AI innovation and shape digital transformation.
* Work in a dynamic environment with cutting-edge technology.
* Competitive compensation and clear career progression.

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

* Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
* Define technical standards, best practices, and architectural governance.
* Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
* Run workshops with technical and non-technical stakeholders, including C-level leaders.
* Provide technical leadership across delivery programmes and mentor internal teams.
* Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

* Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
* AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
* Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
* Microsoft Business Applications - Dynamics 365, Power Platform.
* Delivery & Engineering - DevOps, Agile, CI/CD, governance.

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

* Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
* Define technical standards, best practices, and architectural governance.
* Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
* Run workshops with technical and non-technical stakeholders, including C-level leaders.
* Provide technical leadership across delivery programmes and mentor internal teams.
* Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

* Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
* AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
* Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
* Microsoft Business Applications - Dynamics 365, Power Platform.
* Delivery & Engineering - DevOps, Agile, CI/CD, governance.

Principal AI & Data Architect - Remote - Up to £110,000

A leading Microsoft-focused technology consultancy is seeking a highly experienced Principal AI & Data Architect to drive the design, strategy, and delivery of advanced data and AI solutions across enterprise clients.

This is a senior, hands‑on position for someone who thrives on shaping modern data platforms, influencing C‑suite stakeholders, and guiding teams in the delivery of cutting-edge cloud and AI architectures.



About the Role:

* Lead the architecture and design of large-scale data and AI platforms across the Microsoft ecosystem.
* Define technical standards, best practices, and architectural governance.
* Drive pre-sales engagements, translate business needs into solution architectures, and support bid responses.
* Run workshops with technical and non-technical stakeholders, including C-level leaders.
* Provide technical leadership across delivery programmes and mentor internal teams.
* Collaborate on internal product development and reusable solution assets.

This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth.



Key Skills & Experience

* Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric.
* AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI.
* Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling.
* Microsoft Business Applications - Dynamics 365, Power Platform.
* Delivery & Engineering - DevOps, Agile, CI/CD, governance.

Data Architect - Hybrid - London - £70,000

A public‑facing regulatory organisation is seeking an experienced Data Architect to support the design, governance, and evolution of its enterprise data landscape across Microsoft D365 and a modern medallion architecture.

This role sits within the Digital Services team and plays a key part in shaping data models, ensuring data quality, and guiding the organisation toward a consistent, well‑governed data future.



The Role

* Designing conceptual and logical data models to support new projects and enhancements.
* Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework.
* Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata.
* Championing good data architecture practices across the organisation.



Requirements:

* Microsoft background (SSIS, Dataverse, sharepoint)
* Microsoft Azure and/or Fabric
* Understanding of transactional, Kimball and OBT methodologies

Experience

* Proven experience in data architecture
* Demonstrable ability to translate business and technical requirements into robust data architecture solutions
* Experience designing transitional architectures and handling security considerations across architectural domains.