director of 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

Intercom

<div><div><p>Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p>
<p>
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey &ndash; from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p>
<p>
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><div><h1 class="jobSectionHeader"><b>
Product Data Science Leader, Fin</b></h1>
<h2 class="jobSectionHeader"><b>What makes this role different</b></h2>
<p>
This is not a classic experimentation-first product data science leadership role.</p>
<p>
Fin is a fast-moving, ambiguous, B2B AI-native product company. The role is less about owning a neat experimentation roadmap and more about helping shape direction in an environment where product bets are evolving quickly, the operating model is constantly changing, and decisions often need to be made before the data is complete.</p>
<p>
This person will not be successful if they wait to be asked for analysis. We need someone who creates momentum, brings clarity to messy problems, and helps leaders decide what matters, where to focus, and what should change.</p>
<p>
This is a highly consultative, influence-heavy leadership role. It sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organizational design. Success depends on building trust and traction with product, engineering, design, research, sales, and executive stakeholders, often without relying on formal authority alone.</p>
<p>
The role is as much about shaping the system around product data science as it is about analytical depth. A major part of the job is creating the conditions for the function to be effective: improving how decisions get made, clarifying where data science should engage, helping define interfaces with adjacent functions, and ensuring insights actually influence outcomes.</p>
<h2 class="jobSectionHeader"><b>
Vision for Product Data Science at Fin</b></h2>
<p>
This role is not only about leading the current team well. It is also about helping define what product data science should become in an AI-native product organization.</p>
<p>
Fin is building zero-to-one products in an environment where the nature of the work is constantly shifting. As a result, the shape of product data science cannot be static or tied too closely to a traditional experimentation-and-dashboards model.</p>
<p>
We expect this leader to help define the future makeup of the function. That includes understanding where we need data scientists who are closer to engineers and builders, where we need people who operate more like researchers, and where deep statistical and analytical rigor should remain central.</p>
<p>
This person should bring a clear point of view on what an AI-native product data science function looks like, how AI should change the practice of analysis, and what capabilities, foundations, and operating model are required for the function to have the most impact over time.</p>
<p>
They should help define:</p>
<ul>
<li>the right capability mix for the team over time</li>
<li>where foundations work belongs and how it should be prioritized</li>
<li>how AI can increase leverage in analysis without lowering quality or rigor</li>
<li>how product data science should evolve as Fin evolves.</li>
</ul><h2 class="jobSectionHeader"><b>What this role is really about</b></h2>
<ul><li>Bringing clarity to ambiguous product bets with data and insights</li>
<li>Helping shape strategy in fast-moving B2B AI product areas</li>
<li>Pushing for better decisions, not just better analysis</li>
<li>Identifying product and performance gaps early;</li>
<li>Influencing where the organization should act</li>
<li>Creating traction for product data science where the model is still evolving</li>
<li>Designing how product data science should work, not just delivering within the current setup</li>
<li>Redirecting effort toward the highest-leverage problems</li>
Leading with judgment, influence, credibility, and conviction<br>
<li>
</li>
</ul><h2 class="jobSectionHeader"><b>What you&rsquo;ll do</b></h2>
<ul><li>Help product and company leaders make better decisions on where Fin should focus</li>
<li>Bring structure and judgment to ambiguous product, customer, and performance questions</li>
<li>Identify what is and is not working in the product, and where intervention is most needed</li>
<li>Shape early product direction, especially in zero-to-one and fast-evolving areas</li>
<li>Define where product data science should engage deeply versus where lighter support is sufficient</li>
<li>Define a vision for what product data science should look like in an AI-native product organization</li>
<li>Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment</li>
<li>Improve visibility into product performance, opportunity size, and business impact</li>
<li>Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes</li>
<li>Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed</li>
<li>Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams</li>
<li>Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products</li>
<li>Coach and raise the bar for product data science work through prioritization, judgment, and leadership presence</li>
<li>Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests</li>
</ul><h2 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h2>
<ul><li>Strong product data science leadership experience in complex product environments</li>
<li>Track record of shaping strategy, not just supporting execution</li>
<li>Comfort operating in ambiguity and making high-quality judgment calls with imperfect data</li>
<li>Ability to influence senior stakeholders and challenge constructively when needed</li>
<li>Strong analytical depth and technical skills</li>
<li>A strong point of view on what product data science should look like in an AI-native company</li>
<li>Experience evolving team shape and capability mix in response to changing product and organizational needs</li>
<li>Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialization</li>
<li>Strong judgment on how AI should and should not be used in analytical and data science work</li>
<li>Excellent prioritization instincts and ability to identify high-leverage work</li>
<li>Experience working across product, engineering, design, research, and commercial stakeholders</li>
<li>Ability to translate across functions and connect product decisions to customer and business outcomes</li>
<li>Strong leadership presence: credibility, judgment, communication, and follow-through</li>
<li>Experience building or evolving operating models, team scope, or cross-functional ways of working</li>
Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts<br>
<li>
</li>
</ul><h2 class="jobSectionHeader"><b>What success looks like</b></h2>
<ul><li>Product and R&amp;D leaders actively rely on this person to shape priorities</li>
<li>Data science is involved early enough to influence direction, not just validate decisions late</li>
<li>Teams have a clearer view of product performance, opportunity size, and where intervention is needed</li>
<li>Product data science effort is focused on the highest-leverage opportunities</li>
<li>The interfaces between product data science and adjacent functions are clearer and more effective</li>
<li>The function becomes embedded in how critical Fin decisions get made</li>
<li>The overall quality of decision-making rises around the teams this person supports</li>
<li>The team evolves toward the right mix of capabilities for an AI-native product environment</li>
<li>AI is used to increase leverage in analysis and decision support without lowering rigor</li>
</ul><h2 class="jobSectionHeader"><b>Why this role matters now</b></h2>
<p>
Fin is operating in a space where product ships incredibly fast, decisions move quickly, ambiguity is high, and the organization needs stronger clarity on where product data science can have the most impact.</p>
<p>
We need a leader who can help shape the agenda, improve the system and operating model, and ensure product data science meaningfully changes outcomes.</p>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<p>
We are a well treated bunch, with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us!</p>
<ul>
<li>Competitive salary and equity in a fast-growing start-up.</li>
<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>
<li>Regular compensation reviews - we reward great work!</li>
<li>Pension scheme &amp; match up to 4%.</li>
<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>
<li>Flexible paid time off policy.</li>
<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>
<li>If you&rsquo;re cycling, we&rsquo;ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>
<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>
</ul>
<p>#LI-Hybrid</p></div><div><p><b>
Policies</b></p>
<p>
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.</p>
<p>
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
</p><p>Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</p></div></div>

Director, Product Analytics

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

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

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

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

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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