associate director data & analytics

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance.<br>
<br>
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses.<br>
<br>
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships.</p><p><br>
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.</p><p>
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.</p><p>
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.</p><p>
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.</p><p><b>
You will make an impact by:</b></p><p>
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.</p><ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul><p><b><br>
What we are looking for:</b></p><ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul><p><b><br>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

Invesco

<div><p>As one of the world&rsquo;s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.</p><p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p></p><p><b>
We have an outstanding benefits package which includes:</b></p><div><div><div><div><div><div><div><div><div><ul><li><p>
Company-provided healthcare</p></li><li><p>
A competitive annual leave allowance</p></li><li><p>
Flexible working options, including hybrid working arrangements</p></li><li><p>
Generous pension provisions</p></li><li><p>
Income protection</p></li><li><p>
Health and wellness benefits</p></li><li><p>
Volunteering days</p></li><li><p>
Enhanced parental leave</p></li><li><p>
Life insurance</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p><b>
Your role:</b></p><p>
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.</p><p></p><p>
This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.</p><p></p><p>
You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams to drive delivery and continuous improvement. The role reports to Associate Director, Investment Technology supporting the ETFs business.</p><p></p><p><b>
What you will be doing:</b></p><ul><li><p>
AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.</p></li><li><p>
Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem</p></li><li><p>
Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems</p></li><li><p>
Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines</p></li><li><p>
Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.</p></li><li><p>
Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.</p></li><li><p>
Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).</p></li><li><p>
Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.</p></li><li><p>
Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks</p></li><li><p>
Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.</p></li><li><p>
Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI-assisted development.</p></li><li><p>
Participate in production support and on-call rotation as needed.</p></li></ul><p></p><p><b>
What you will bring:</b></p><ul><li><p>
Proven hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).</p></li><li><p>
Proven Python experience, including data processing, APIs, or service-based architecture.</p></li><li><p>
Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.</p></li><li><p>
Experience with cloud-native development (AWS) and containerized environments. ,</p></li><li><p>
Experience with CI/CD, DevOps practices, and automated testing.</p></li><li><p>
Exposure to portfolio analytics, risk models, or investment workflows preferred.</p></li><li><p>
AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration&mdash;plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.</p></li><li><p>
Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).</p></li><li><p>
Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).</p></li><li><p>
Bachelor&rsquo;s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred</p></li><li><p>
CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required</p></li><li><p>
Problem-solving skills and the ability to operate in a fast-paced, high-impact environment.</p></li></ul><p></p><p><b>
Disability Confident Scheme :</b></p><p>
Applicants who opt in to the Disability Confident Scheme and meet the &lsquo;minimum criteria&rsquo; for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme.</p><p>
The Disability Confident Scheme only guarantees an interview &ndash; it does not automatically mean that applicants interviewed will gain employment with Invesco at that time.</p><p>
To apply through the Disability Confident Scheme, you&rsquo;ll need to firstly ensure you have applied for the role via our external careers page. Following this, you&rsquo;ll need to email us at EMEA-TalentAcquisition@invesco.com confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for.</p><p></p><h1 class="jobSectionHeader"><b>
Full Time / Part Time</b></h1><p></p>
Full time<p></p><h1 class="jobSectionHeader"><b>
Worker Type</b></h1><p></p>
Employee<p></p><h1 class="jobSectionHeader"><b>
Job Exempt (Yes / No)</b></h1><p></p>
Yes<br>
<h1 class="jobSectionHeader"><b>
Workplace Model</b></h1><p><br>
Pursuant to Invesco&rsquo;s Workplace Policy, employees are expected to comply with the firm&rsquo;s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other&rsquo;s growth and development.</p><p></p><p>
If this sounds like you, we&rsquo;d love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to emea-talentacquisition@invesco.com. Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments)</p><p></p><p>
We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.</p><p></p><p><b>
Our commitment to the community and environmental, social and governance investing:</b><br>
We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.</p><p></p><p><b>
Recruitment Agencies:</b><br>
Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.</p><p></p><p><b>
Regulatory:</b><br>
This position may fall in-scope of one or multiple regimes/directives.</p></div><p></p>

Senior ETF Engineer, Investment Technology

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> AI Data Engineer (Azure)</p><p><b>
Location: </b>London Hybrid. Travel to the London office 2 days a week</p><p><b>
Duration: </b>6 months</p><p><b>
Contract Start Date:</b> ASAP</p><p><b>
Day rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for a highly skilled <b>AI Data Engineer </b>(Contractor) specialising in <b>Azure </b>to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines <b>strong </b><b>AI/GenAI data pipeline</b><b> </b>expertise with <b>hands-on Azure, data discovery and analysis. </b>You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace.</p><p></p><p><b><br>
Deliverables: Responsibilities but not limited to:</b></p><b>
1. Data Engineering &amp; Azure Platform Delivery</b><br>
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul><b>
2. Unstructured Data &amp; NoSQL Engineering</b><ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul><b>
3. Data Discovery, Analysis &amp; Business Engagement</b><ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. <b>Collaboration &amp; Delivery</b><ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul><p></p><p><b><br>
Essential Skills and Experience</b></p><ul><li><ul><li>
Proven experience as an <b>Azure Data Engineer </b>in end-to-end data platforms</li><li>
Exposure to <b>AI/GenAI data pipelines </b>(e.g. RAG, embeddings, search)</li><li>
Knowledge of <b>Azure AI Search</b> or vector-based retrieval systems</li><li>
Strong <b>hands-on</b> experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in <b>Python</b> and <b>SQL</b></li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul><p></p><p><b><br>
Desirable:</b></p><ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Capgemini Invent: Why Join us?</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>Our Analytics &amp; AI (A&amp;AI) Capability Unit is the home of our experts in data &amp; AI strategy, innovation, transformation and enablement; supporting clients in using advanced data, analytics and AI solutions to solve complex business problems.
</p><p>This is a high profile role in Capgemini Invent, contributing to leadership across both across the Analytics &amp; AI capability unit and across our client engagements. As a Director in our team, you will be responsible for new business focused on clients in all sectors and selling consulting opportunities in excess of &pound;2m per year. You will be expected to contribute to thought leadership and team management activities across multiple capability areas but with a focus on AI Governance and Trust including regulation, ethics, risk management, controls and compliance.</p>
</div></div><div></div><div><div><p>In this role, you&rsquo;ll help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include:</p>
<p>Working as part of the Capgemini Invent A&amp;AI leadership team to grow our AI Governance &amp; Trust capability and develop our AI regulation, ethics and compliance offers
</p><p>Managing the performance and grow teams of data &amp; AI consultants with AI Governance expertise who work cross-sector, supporting individuals&rsquo; career growth, guiding L&amp;D priorities and driving recruitment</p>
<p>Building long-lasting senior client relationships and creating a sustainable business development pipeline</p>
<p>Inspiring our clients on innovating with AI safely with the right governance and controls in place</p>
<p>Helping our clients to design their AI strategies and adopt robust AI governance frameworks</p>
<p>Selling, leading, and managing large delivery programmes with data and AI at the centre</p>
<p>Creating thought leadership and new propositions that reflect Capgemini Invent&rsquo;s position as a leading AI, data science and analytics consultancy</p>
</div></div><div></div><div><div><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<p>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</p>
<p>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</p>
<p>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE
</b></h2></div><div><p>You will already be a leader within AI Governance &amp; Trust consulting and you want to take your career to the next level. You will have experience at a similar level leading data and AI teams within a large consultancy, and you will have relationships at senior levels in multiple client organisations.</p>
<p>Specifically, you will bring:</p>
<ul><li>Good existing relationships with Senior Clients, focussed on the areas responsible for AI Governance &amp; Trust
</li><li>Experience of defining data strategies and shaping the AI or data science services and solutions that deliver the client&rsquo;s vision, integrated across technology and business functions</li>
<li>A deep understanding of trends in AI and how these are impacting our clients in terms of Governance &amp; Trust
</li></ul></div></div><div></div><div><div><p>You will also require:</p>
<ul><li>Strong management consulting experience with proven success in AI, Data Science or Analytics and Governance, Regulation and Compliance</li>
<li>A proven track record in new business development / account management in clients across the full sales lifecycle; you will have a personal sales target of circa &pound;2m per annum of consulting business.</li>
<li>Proven ability to be successful in a matrixed organisation and to enlist support and commitment from peers in selling and delivering consulting solutions.</li>
<li>Credibility and personal impact; you will be respected by colleagues and clients</li>
<li>Versatility and collaborative in style, empathetic in nature, confident in content and focussed on outcomes at all levels in the client organisation.</li>
<li>A passion to shape, motivate and deliver AI, Data Science and Analytics work</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW
</b></h2></div><div><p>At Capgemini we don&rsquo;t just believe in Diversity &amp; Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
<p><b>CSR:</b></p>
<p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI
</b></h2></div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p>
<p><b><i>Capgemini is proud to be a </i></b><b><i>Disability Confident Employer (Level 2) </i></b><i>under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</i></p>
<ul><li><i>Declare they have a disability, and</i></li>
<li><i>Meet the minimum essential criteria for the role.</i></li>
</ul><p><i>Please opt in during the application process.</i></p></div></div></div></div></div></div></div>

Director AI Governance

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> London</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, London

Databricks

<div><p>As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS Databricks alliance across the region &mdash; today a <b>$220M trailing-year consumption book growing at +69.7% YoY</b>, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the &quot;better-together&quot; technical narrative for Databricks on AWS.</p>
<p>You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS &mdash; through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.</p>
<p><b>Reporting to:</b> Director, Field Engineering (Partner Solutions Architect).</p>
<h2 class="jobSectionHeader"><b>What the role owns:</b></h2>
<ul><li><b>AWS-sourced pipeline &amp; EMEA AWS consumption growth</b> &mdash; act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of <b>+60% YoY growth / $297.86M target</b>.</li>
<li><b>The EMEA AWS SME community</b> &mdash; convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15&ndash;20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.</li>
<li><b>Partner enablement at scale</b> &mdash; sustain the training engine that feeds pipeline 2&ndash;3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training Databricks L&amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.</li>
<li><b>Joint product contribution &amp; reference architectures</b> &mdash; own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (&quot;Moonwalk+&quot;), Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.</li>
<li><b>Strategic-account unblock &amp; multicloud arbitration</b> &mdash; lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.</li>
<li><b>Executive alignment &amp; external brand</b> &mdash; run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.</li>
</ul><h2 class="jobSectionHeader"><b>The impact you will have:</b></h2>
<ul><li>Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.</li>
<li>Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix.</li>
<li>Grow field-wide AWS capability &mdash; through the SME community, certification programmes, and reusable architectures &mdash; so AWS depth is distributed across the EMEA field rather than concentrated in one person.</li>
<li>Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.</li>
</ul><h2 class="jobSectionHeader"><b>What we look for:</b></h2>
<ul><li>Extensive hands-on experience as a data professional in a modern, cloud-based data stack.</li>
<li><b>Hyperscaler-alliance experience (AWS strongly preferred)</b> with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.</li>
<li><b>AWS-specific technical depth</b> &mdash; PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation.</li>
<li>At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.</li>
<li>Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.</li>
<li>Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).</li>
<li>Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).</li>
<li>Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.</li>
<li>Managing multiple, frequently changing priorities across multiple teams.</li>
</ul><p>The role requires up to <b>40% travel</b> across EMEA &mdash; to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).</p>
<div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

AWS Cloud Partner Solutions Architect — EMEA

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