data engineer

data scientist

senior data engineer

senior data scientist

lead data scientist

data product manager

Wood Mackenzie

<div>Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. 
For over 50 years our work has guided the decisions of the world&rsquo;s most influential energy producers, utilities companies, financial institutions and governments. 
Now, with the world&rsquo;s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That&rsquo;s why we&rsquo;ve redefined what&rsquo;s possible with Intelligence Connected. 
 
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. 
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence &ndash; whether planning days, weeks, months or decades ahead. 
Wood Mackenzie 
Intelligence Connected 
WoodMac.com 
Wood Mackenzie Brand Video
Wood Mackenzie Values<ul><li>
Inclusive &ndash; we succeed together</li><li>
Trusting &ndash; we choose to trust each other</li><li>
Customer committed &ndash; we put customers at the heart of our decisions</li><li>
Future Focused &ndash; we accelerate change</li><li>
Curious &ndash; we turn knowledge into action</li></ul>
Job Description
To support the development of our Lens data analytics platform, we are looking for a dynamic Senior Product Manager to be an integral part of our Commodities Product team covering Gas &amp; LNG, Oils &amp; Chemicals and Metals &amp; Mining. 
Knowledge &amp; experience<ul><li>
Experienced Product Manager, or Analyst looking to expand their role into the Product Management space</li><li>
Experience with the product development cycle including agile software development (Scrum/Kanban), design process, and instrumenting analytics.</li><li>
Basic industry knowledge and strong interest on one or multiple sectors covered in our portfolio (Gas &amp; LNG, Oils &amp; Chemicals, Metals &amp; Mining), understanding of the major players, market conditions, and industry standards. Intellectual curiosity for industry is a must.</li><li>
Experience working on data migrations projects, and using AI in product development is a strong plus.</li><li>
Good oral and written communication skills</li><li>
Key tools that we use are JIRA, Productboard and Amplitude. Our tech stack is mainly on AWS and Snowflake.</li></ul> 
Impact on the team<ul><li>
Act as the day-to-day point person for the cross-functional team, providing a seamless bridge between Research Analysts, Data teams, UX, and Engineering to identify solutions that work within a set of defined constraints and align to the broader business strategy and achieve customer-focused results.</li><li>
Align understanding by defining user requirements with clear acceptance criteria across multiple features</li><li>
Assist in documentation and testing of given solutions to ensure fit for customers</li><li>
Collaborate with the Senior Product Manager to help communicate product value and priorities to internal teams, including sales and marketing</li>
Foster healthy culture, support and collaboration for a distributed team 
<li>
</li></ul>Stakeholder &amp; client relationships<ul><li>
Translate requirements from customers and defining the product functionality according to wider customer needs</li><li>
Inform senior stakeholders on progress and raise risks to the appropriate level</li><li>
Engage frequently with users to gather feedback from relevant customers and internal stakeholders.</li><li>
Collaborate with Marketing and Sales to enable go-to-market effort</li></ul> 
Equal Opportunities 
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov</div>

Senior Product Manager

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Team/Role Overview
Are you a visionary problem solver with a passion for creative thinking and deep technical expertise in data and AI? Do you thrive in a dynamic, collaborative environment, working at the forefront of innovation? Citi is seeking an exceptional, hands-on Product Manager to lead the charge in developing and launching transformative Data and AI solutions within our Securities Finance business within Investor Services.
The Securities Finance team is part of the Investor Services franchise within Services at Citi. We bring market leading agency execution solutions to our clients across several asset classes and trade types through our Securities Lending, Cash Investments (DAIS), Collateral Management and Optimisation products.
You are a change agent, curious and passionate about data and AI, with a critical focus on delivering business outcomes through data. In this role you will work closely with our Sales, Trading and Product management teams to create executable data-driven insights and strategies that will create value for our clients.
This is a unique role operating at the intersection of product, operations, and technology. Reporting to the Head of Data &amp; AI Product, you will be a key partner in accelerating our ambitious data analytics, commercialization, and AI roadmap. You will not only define the &quot;what&quot; but also drive and engage in the &quot;how,&quot; accelerating execution across Trading, Sales, Product, Technology, and Operations partners. Your primary mandate will be to identify and commercialize strategic opportunities for AI to solve critical business problems across Securities Finance, ensuring seamless integration with existing enterprise platforms and adherence to the highest standards of policy and governance.
What you&rsquo;ll do
<ul><li>Partner and Deliver on the AI Strategy: Identify strategic opportunities for Data &amp; AI to solve critical business problems across Securities Finance. Operate with a commercial mindset to prioritize the most impactful use-cases, define the path to commercialization, and deliver against a defined ROI.</li>
<li>Problem Solving &amp; Innovation: Act as a relentless problem solver, deeply understanding business challenges within the capital markets landscape and translating them into innovative, AI-powered product solutions. Champion creative thinking and explore uncharted territories to accelerate delivery and create differentiation.</li>
<li>Discovery &amp; Co-creation: Lead intensive discovery phases, collaborating closely with internal business clients, product specialists, operations, and engineering teams to uncover needs, define use cases, and co-create rapid prototypes. Facilitate workshops and design sprints to refine concepts and gather feedback.</li>
<li>Deep Technical Leadership: Possess a comprehensive understanding of the underlying AI models, scalable infrastructure, data pipelines, and deployment architectures. Work with engineers and architects to guide technical design decisions, ensuring the scalability, performance, and architectural integrity of Generative AI solutions in a regulated financial environment.</li>
<li>Industrialize &amp; Scale Solutions: Oversee the end-to-end lifecycle of AI solutions, from initial prototype to industrial-grade product. Define clear paths to production, ensuring solutions meet enterprise-grade requirements for security, compliance, reliability, and maintainability.</li>
<li>Cross-functional Collaboration: Build strong relationships and foster seamless collaboration with diverse teams including Data Scientists, AI Researchers, Software Engineers, and Operations within or supporting Investor Services.</li>
<li>Market &amp; Technology Acumen: Stay abreast of the rapidly evolving Generative AI landscape, including foundation models, tooling, ethical considerations, and competitive offerings. Translate complex technical concepts into clear business value propositions with a specific focus on their application within Securities Finance.</li>
<li>Stakeholder Management: Effectively communicate product roadmaps, progress, and impact to executive leadership, business stakeholders, and engineering teams. Manage expectations and navigate trade-offs with transparency</li>
</ul>What we&rsquo;ll need from you
<ul><li>Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.</li>
<li>Professional Experience: Relevant experience across product development, data and AI, with a significant portion focused on AI/ML-driven products and heavy exposure in recent years to Generative AI.</li>
<li>Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big-data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design, build, and scale complex software systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions with a strong understanding of how to integrate with existing enterprise platforms.</li>
<li>Domain Knowledge: Strong experience within the Capital Markets domain is highly preferred. Specific experience in Securities Finance (e.g., Agency Securities Lending, Prime Brokerage, Repo, or Collateral Management) is beneficial but not a prerequisite.</li>
<li>Agile Environments: Experience working in agile product development environments.</li>
</ul>Key Competencies &amp; Skills
<ul><li>Proven Problem Solver: A track record of identifying complex problems and delivering innovative, data-driven solutions.</li>
<li>Creative &amp; Strategic Thinker: Ability to think outside the box, challenge the status quo, and envision disruptive commercial possibilities with AI.</li>
<li>AI &amp; GenAI Fluency: Deep understanding of the Generative AI ecosystem, including frontier models, AI patterns, prompt engineering, fine-tuning, and deployment strategies. Appreciative of the governance and control requirements needed to support a scalable and trustworthy suite of AI solutions.</li>
<li>Commercial Acumen: A strong ability to connect technical capabilities to business value, identify commercial opportunities, and drive for impactful results with a focus on ROI.</li>
<li>Executive Communication: Excellent communication, presentation, and interpersonal skills, with the ability to influence cross-functional teams and senior leadership.</li>
<li>Adaptability: Ability to thrive in ambiguity and adapt to a fast-paced, evolving technological landscape.</li>
</ul>What we can offer you
Join us as we build the next generation of financial products powered by Artificial Intelligence. This is an opportunity to strategically leverage Citi's enterprise platforms and capabilities to accelerate innovation and deliver unparalleled value. You will be empowered to make a significant impact, drive the future of finance, and accelerate your career at the forefront of Data &amp; AI innovation within a world-leading financial institution.
We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
<ul><li>Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure</li>
</ul><ul><li>A discretional annual performance related bonus</li>
<li>Private medical insurance packages to suit your personal circumstances</li>
<li>Employee Assistance Program
</li><li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Institutional Sales
-
<h2 class="jobSectionHeader">Job Family:</h2>
Corporate Access
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Securities Finance Product Manager – Data & AI Solutions (Senior Vice President)

Moody's

<div>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
<div><div>
Skills and Competencies</div><ul><li>
5+ years of experience in the sanctions, anti-money laundering, fraud, investigations, export control and/or adjacent regulatory spaces, with deep working knowledge of the domain</li><li>
Strong technical literacy including the ability to read schemas, review queries, and discuss data modeling trade-offs with engineers</li><li>
Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution</li><li>
Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements</li><li>
Excellent stakeholder management skills with the ability to align senior business sponsors, subject matter experts, and engineering leads around a shared plan</li><li>
Strong project management skills including agile/scrum, backlog hygiene, dependency tracking, and risk management</li><li>
Preferred: 5+ years of product management experience, with at least 2+ years on data, platform, or AI/ML products</li><li>
Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools</li><li>
Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization</li></ul><div>
Education</div><ul><li>
Bachelor's degree in any discipline; backgrounds in international relations, political science, law, economics, area studies, or similar are as relevant to this role as technical degrees, and often more so</li><li>
Equivalent practical experience will be considered in lieu of a formal degree</li></ul><div>
Responsibilities</div><div>
Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications.</div><ul><li>
Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization</li><li>
Lead the structured evaluation of Knowledge Graph technologies &mdash; defining evaluation criteria, running proofs of concept with engineering, documenting trade-offs, and driving build-vs-buy decisions</li><li>
Source, qualify, and prioritize Knowledge Graph use cases across product sub-teams, maintaining a transparent backlog with clear value hypotheses, success metrics, and prioritization rationale</li><li>
Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points</li><li>
Own the product roadmap for the Knowledge Graph platform, run agile ceremonies, and manage dependencies across data, platform, and application teams to keep delivery on track</li><li>
Serve as the primary point of contact for business sponsors, domain experts, data owners, and consuming product teams &mdash; communicating progress, trade-offs, and risks clearly to both technical and non-technical audiences</li><li>
Define onboarding paths for new use cases, drive platform adoption, and feed learnings back into the roadmap to support continuous improvement</li></ul><div>
About the Team</div><div>
Our Risk Insights team is responsible for identifying new ways to leverage Moody's data to solve new and existing problems. Part of this role will include scaling a Knowledge Graph which will form the foundational data infrastructure that unifies and contextualizes information across the organization, powering analytics, search, and next-generation GenAI and retrieval-augmented generation applications. By joining our team, you will be part of exciting work which strives to leverage data, technology and AI to make the world a better and safer place by making it harder for bad actors to evade sanctions or launder the proceeds of crimes as prevalent as fraud and as heinous as human trafficking.</div></div>

Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. 
 
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.</div>

Assc Dir-Product Manager

BlackRock

<div>Location: London, England Team: Technology Product Job Requisition #: R266270 Date posted: Aug. 27, 2026</div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
About Aladdin Data (AD)
Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock and our clients. The Aladdin Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, AI, and client solutions.
Our mission is to build and operate the capabilities, governance, and workflows that enable data producers and consumers across BlackRock to efficiently share and leverage high-quality data at scale.
AD supports four strategic outcomes that together advance BlackRock's data strategy:
<ul><li>Deliver high-quality, trusted data products and services that power investment processes, operational workflows, and client solutions.
</li><li>Enable data producers to publish and distribute data through a scalable marketplace, making both Aladdin and BlackRock-generated content easily discoverable and consumable.
</li><li>Provide well-governed data that fuels AI, analytics, and emerging digital capabilities across the firm.
</li><li>Offer common standards, tooling, governance, and reusable services that allow teams to focus on creating business value rather than building bespoke data infrastructure.
</li></ul>The team builds common standards, governance, tooling and reusable services that help data producers publish high-quality data and help consumers find, trust and use it without building bespoke infrastructure.
About this role
We are building the BlackRock Data Office within Aladdin Data to enable trusted, reusable and AI-ready data across Technology &amp; Operations through the firm&rsquo;s Data Marketplace.
We are looking for a Vice President, Data Product Management to help define, deliver and drive adoption of marketplace capabilities spanning onboarding, governance, stewardship, discovery, access, quality and reusable data products.
Core Responsibilities
<ul><li>Product strategy &amp; roadmap &ndash; Define the vision, roadmap and priorities for marketplace capabilities supporting Technology &amp; Operations.
</li><li>Delivery &amp; execution &ndash; Translate business and governance needs into product features, measurable outcomes and delivery plans.
</li><li>Backlog ownership &ndash; Prioritize the roadmap and engineering backlog based on user needs, adoption goals and strategic value.
</li><li>Stakeholder management &ndash; Partner across Product, Engineering, Operations, Risk, Compliance and business teams to align delivery with priorities.
</li><li>Adoption &amp; enablement &ndash; Drive onboarding, documentation, demos, release readiness and reuse of marketplace capabilities.
</li><li>AI &amp; innovation &ndash; Shape capabilities that support AI-ready data, automation and scalable governance.
</li></ul>Required Experience
<ul><li>Bachelor&rsquo;s degree in a technology, data, business or related discipline.
</li><li>8+ years in Product Management, Data Product Management, Data Governance or a related discipline.
</li><li>Experience delivering enterprise data, governance, stewardship or marketplace capabilities.
</li><li>Proven ability to define roadmaps, manage priorities and lead cross-functional initiatives.
</li><li>Strong communication, stakeholder management and Agile delivery skills.
</li><li>Experience with tools such as Aha!, Azure DevOps, Jira or similar platforms; financial services data experience is a plus.
</li></ul>Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. 
 
Guidance on AI use for candidates 
 
At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. 
 
 
About BlackRock 
 
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. 
 
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. 
 
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window). 
 
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div><div>Job Requisition #
 
R266270</div></div>

VP - Data Product Management

ATG Entertainment

<div><div><div><ul><li><h4 class="jobSectionHeader">Salary</h4>
Competitive
</li><li><h4 class="jobSectionHeader">Hours</h4>
40
</li><li><h4 class="jobSectionHeader">Type</h4>
Permanent - Full Time
</li><li><h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59
</li><li><h4 class="jobSectionHeader">Location</h4>
ATG Entertainment
 
London
 
Greater London
 
WC2H 8AF</li><li> 
<ul><li>No Files
</li></ul></li></ul></div><div></div><div>Data Architect 
You'll report to the Head of Data, with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture community across ATG Entertainment.
Data is at the centre of how ATG Entertainment runs its business. Our Global Data Platform (GDP), built on Snowflake, centralises ticketing, marketing, financial and operational data. It underpins how we price seats, run marketing campaigns, support our venues, and make strategic decisions across 64 venues in multiple countries.
We're looking for a Data Architect to own the data architecture behind some of our most important commercial decisions: how tickets are priced, where marketing investment goes, how demand is forecast and how shows are traded. You will define the models, definitions, keys, and data contracts those decisions depend on, so that pricing, marketing measurement, forecasting, and trading are built once and run off the same numbers.
You will work towards a single, coherent target state for commercial data: consistent models, definitions and contracts across systems and markets. You will evolve that architecture alongside live delivery, ensuring each design decision either moves ATG towards the target state or is a deliberate, documented exception with a clear path back.
You will design across markets. ATG trades in the UK, the US and Europe, and each market has its own systems, operating models, and regulatory requirements, and adopts common standards at a different pace. You will define the architecture that holds across all of them, and the integration patterns that let regional systems conform to the global model over time.
The breadth of data is wide. It covers consumer and digital data, including web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback. It covers the financial data our commercial models need, including budgets, forecasts, sales, and revenue actuals, which you will architect into commercial data products while Finance remains the owner of Finance reporting. Where enterprise and operational systems hold data that explains ATG's commercial performance, such as event and venue scheduling, retail point of sale and customer service, you will support enterprise and solutions architecture on the data design, so that it can be integrated into the commercial data model to the same standard.
You will design for regulation, security, and cost from the outset. Consumer and marketing data is subject to UK and EU GDPR, PECR and US state privacy laws including California (CCPA/CPRA), so classification, consent, minimisation, retention, deletion, and cross-border transfer are design decisions rather than a final review step. You will work with Legal and Information Security to make compliance a property of the architecture.
We are building towards data that machines can use as reliably as people, starting with GenBI, where commercial users can ask questions in natural language and receive trusted answers. You will design the definitions, models, metadata and contracts that make this possible, together with the access patterns that determine what each consumer can see, at what grain, and how data may be used for recommendation or operational action.
Our Principal Data Engineer owns the technical architecture of the GDP itself and its engineering standards. You own the architecture of the data that moves through it: its models, definitions, keys, metadata and contracts, and the design of the data behind commercial decisions. This is a design, standards, and authority role with strong hands-on architecture. You will set the standard, produce the documentation others build from, review designs against it, and provide architecture assurance before engineering build begins. 
Key responsibilities
<ul><li>Own and maintain the target data architecture for ATG's commercial data, including the transition from current to target state.
</li></ul><ul><li>Define common business entities, definitions, hierarchies, and keys, so commercial products carry consistent meaning across markets and source systems.
</li></ul><ul><li>Architect the data behind pricing, revenue management, marketing measurement, forecasting and trading, including model inputs and outputs, and how decisions and outcomes are recorded and measured.
</li></ul><ul><li>Design the consumer and digital data model spanning web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback, keyed so that behaviour, marketing investment, and sales can be joined.
</li></ul><ul><li>Architect the financial data commercial models need, including budgets, forecasts, sales, and revenue actuals, working with Finance and maintaining clear ownership boundaries for Finance reporting.
</li></ul><ul><li>Define and govern data contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management.
</li></ul><ul><li>Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write-back.
</li></ul><ul><li>Embed data protection and security into the architecture, including consent, retention, minimisation, and cross-border requirements across ATG markets.
</li></ul><ul><li>Produce and maintain conceptual and logical data models, data flows, lineage, architecture decision records and reusable design patterns, documented at the level needed by both engineering teams and commercial stakeholders.
</li></ul><ul><li>Support enterprise and solutions architecture where operational or enterprise systems provide data needed for commercial decision-making, ensuring it integrates into the commercial model to the required standard.
</li></ul><ul><li>Design how each market and new system conforms to the common data standard, while making the cost implications of design options visible so choices are made commercially.
</li></ul><ul><li>Provide architecture assurance across delivery: review designs, challenge where needed, approve designs for build, and represent Data in cross-team architecture forums. 
</li></ul>Your skills, qualities, and experience 
Leadership Qualities
<ul><li>Self-directed and proactive &mdash; you identify problems, drive work forward and communicate progress without being prompted.
</li></ul><ul><li>Comfortable operating as a senior individual contributor, leading through expertise and influence rather than hierarchy.
</li></ul><ul><li>Able to set and uphold standards under delivery pressure without becoming a bottleneck.
</li></ul><ul><li>Able to influence teams and stakeholders across organisational boundaries.
</li></ul><ul><li>Able to explain architecture decisions to commercial leaders in terms of what they enable, constrain and cost.
</li></ul>Technical Expertise
<ul><li>Strong conceptual, logical, and physical data modelling, including dimensional and event-based approaches over high-volume transactional data.
</li></ul><ul><li>Modern cloud data platforms and ELT patterns, with sufficient depth in warehouse, lake and lakehouse architectures to review and challenge platform designs.
</li></ul><ul><li>Integration design across API, event, streaming and batch patterns, and the data contracts that govern them.
</li></ul><ul><li>Practical proficiency in SQL, Python, and transformation tooling such as dbt, sufficient to prototype and review what engineering teams build.
</li></ul><ul><li>AI-fluent, with practical experience of AI tooling and an understanding of machine-readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data.
</li></ul>Essential
<ul><li>Hands-on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability in at least one and strong exposure to the other.
</li></ul><ul><li>Strong data architecture in a commercial environment where data directly informs revenue and trading decisions, not just reporting.
</li></ul><ul><li>Consumer, digital and transactional data at scale, including strong web and app analytics architecture with hands-on GA4 experience, connecting customer behaviour, marketing investment, and sales outcomes.
</li></ul><ul><li>Common definitions, entities, and keys established across multiple source systems and teams, including where systems cannot fully conform.
</li></ul><ul><li>Data contract design and governance across both data-producing and data-consuming teams.
</li></ul><ul><li>Data design for ML, AI or automated decisioning, including feature and serving data patterns, point-in-time correctness, controlled access, and capture of decisions and outcomes.
</li></ul><ul><li>Privacy and security by design across more than one jurisdiction, treated as architectural constraints from the outset.
</li></ul><ul><li>Multi-market or multi-region architecture across differing systems, currencies, languages, and regulatory requirements.
</li></ul><ul><li>Architecture practice across a complex technology estate, including current and target state views, architecture decision records, and reusable design patterns, with the ability to influence teams and uphold standards across organisational boundaries. 
</li></ul>Desirable
<ul><li>Live entertainment, ticketing, travel, hospitality, retail, or another business where price, demand and inventory interact dynamically.
</li></ul><ul><li>Customer data platforms, identity resolution, consent and preference management, mobile measurement platforms, and paid, affiliate or social advertising data.
</li></ul><ul><li>Enterprise application and integration architecture alongside a data platform.
</li></ul><ul><li>Operational and venue systems, including point of sale, event and venue scheduling, and work management platforms.
</li></ul><ul><li>Experimentation, model monitoring, and feedback-loop design.
</li></ul><ul><li>Platform migration or estate consolidation.
</li></ul><ul><li>Snowflake and AWS, with exposure to model development or serving environments such as SageMaker or Snowflake Cortex. 
</li></ul>About Us 
Our values
ATG Entertainment&rsquo;s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. 
<ul><li>THRIVE doing what we love (with passion and dynamism) 
</li></ul> 
<h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59</div></div></div>

Data Architect

The Senior Product Manager plays a key role within the FDP Local Product Team, leading the development and delivery of products that address clinical and operational challenges across NHS organisations, systems and Integrated Care Boards (ICBs). Working within the FDP Product Lifecycle Framework, the post holder will guide products from investigation through pilot to adoption.
 
The NHS Federated Data Platform (FDP) supports NHS transformation, enabling organisations to use data, real-time insight and AI capabilities to improve decision-making, patient outcomes and operational performance.
 
Working with frontline users, incubator organisations and supplier partners, the Senior Product Manager will lead product discovery and translate insights into product requirements. They will work with technical, clinical and operational stakeholders to develop solutions aligned to NHS priorities.
 
The post holder will support governance processes and prepare recommendations for review by the FDP Product Board and assurance forums. They will ensure products meet requirements for benefits realisation, clinical safety, information governance and alignment with national priorities, including the NHS 10 Year Health Plan. Working across Demand and Delivery, TOD, AI, Benefits, Clinical Safety and Information Governance teams, they will help deliver impact across the NHS.
 
This role offers the opportunity to improve care delivery while contributing to a major NHS digital transformation programme.
 
Lead Product Discovery and Requirement Development – Work with frontline clinical and operational teams, incubator organisations and stakeholders to understand challenges, define user needs and develop clear product requirements and roadmaps.
 
Manage Products Through the FDP Lifecycle – Own product delivery from investigation and incubation through pilot and adoption, ensuring products are evidence-based, user-centred and capable of delivering measurable benefits.
 
Support Governance and Product Board Activity – Develop business cases, product assessments and lifecycle evidence, presenting recommendations and progress updates through the FDP Product Board and associated governance forums.
 
Coordinate Multi-Disciplinary Delivery Teams – Bring together suppliers, technical teams, clinicians, operational experts and programme colleagues to collaboratively design, build, test and refine products.
 
Ensure Product Assurance and Strategic Alignment – Work closely with Benefits, Clinical Safety, Information Governance, TOD, AI and Demand & Delivery teams to ensure products deliver measurable value, meet assurance requirements and align with NHS strategic priorities.
 
Champion User-Centred Product Management – Use data, insight and stakeholder feedback to continuously improve products, drive adoption and ensure solutions deliver meaningful outcomes for patients, staff and NHS organisations.
 
NHS England has a wide range of statutory functions, responsibilities and regulatory powers. These are focused on supporting the wider NHS to deliver high quality care, as well as doing those things that are best done once for the whole NHS.
 
Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms — enabling us to design and deliver high-quality NHS services.
 
In March 2025, the Government announced that NHS England and the Department of Health and Social Care will increasingly merge functions, ultimately leading to NHS England being fully integrated into the department.
 
If you currently work within the NHS and if successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of the process.
 
Colleagues with a contractual office base are expected to spend, on average, at least 40% of their time working in our offices.
 
Staff recruited from outside the NHS will usually be appointed at the bottom of the pay band.
 
We cannot offer visa sponsorship for any vacancies.
 
You can find further details about the role, including key responsibilities and accountabilities, and person specification in the attached Job Description. Please ensure your supporting statement includes demonstratable evidence and specific examples on how you meet the criteria for each of the key skills specified. This will be used in both the shortlisting and interview processes.

Ebury

<div><div>Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you're a collaborator who wants to help transform how businesses operate globally, get in touch - we'd love to discuss how Ebury can accelerate your career so you can shape the future.</div>
Staff Product Manager - API Connectivity

Product

Ebury London Office - Hybrid: 4 days in the office, 1 day working from home per week

We are looking for an experienced Product Manager to own API Connectivity with ERP and accounting platforms. This role will lead the strategy, delivery, and evolution of integrations with systems such as Sage, QuickBooks, and ERP aggregators (e.g. Codat, Merge, Apideck).

You will be responsible for building scalable, high-quality integrations that power financial workflows for our partners and customers, working closely with engineering, external vendors, and internal stakeholders.

This role is critical to expanding the reach and adoption of Ebury's API platform.

What you'll do

Product ownership &amp; strategy
<ul>
<li>Own the Connectivity (ERPs) product domain, including: Direct integrations (e.g. Sage, QuickBooks) and Third-party aggregation platforms (e.g. Codat, Merge, Apideck)</li>
<li>Define the product vision, roadmap, and success metrics for ERP connectivity</li>
<li>Make strategic build vs. buy decisions for integrations</li>
</ul>
Delivery &amp; execution
<ul><li>Translate partner and business needs into clear API requirements and specifications</li>
<li>Work closely with backend engineers to deliver reliable, scalable integrations</li>
<li>Manage dependencies with external ERP providers and aggregation platforms</li>
<li>Ensure integrations are production-ready, well-documented, and maintainable
</li></ul>Stakeholder &amp; partner management
<ul>
<li>Act as the primary product contact for ERP connectivity internally</li>
<li>Collaborate with Sales, Partnerships, Customer Success, and Compliance</li>
<li>Engage directly with external partners and vendors to manage integration requirements, timelines, and changes</li>
</ul>
Quality, scalability &amp; DX
<ul>
<li>Ensure a high standard of API design, consistency, and versioning</li>
<li>Partner with the API Platform &amp; DevEx team to deliver: Clear documentation, predictable data models and scalable onboarding for partners</li>
</ul>
What success looks like

In the first 6&ndash;12 months:
<ul><li>6+ new ERPs integrations successfully launched and adopted</li>
<li>ERP aggregator integration live and supporting multiple downstream ERPs</li>
<li>Clear, well-documented integration guides with low integration friction</li>
<li>Strong feedback from partners on reliability and usability</li>
<li>Reduced operational and support overhead for ERP-related integrations
</li></ul>What you'll need 

Must-have experience
<ul>
<li>5+ years of Product Management experience (for L4) / 7+ years (for L5)</li>
<li>Strong experience with APIs, integrations, or platform products</li>
<li>Direct experience in ERP or accounting software integrations, ideally: Working at companies like Codat, Merge, Apideck, or building integrations with Sage, QuickBooks, NetSuite, Xero, etc.</li>
<li>Comfortable working with technical teams on complex data models and workflows</li>
<li>Proven ability to manage external dependencies and third-party vendors</li>
</ul>
Nice-to-have
<ul>
<li>Experience in fintech, payments, or financial data platforms</li>
<li>Familiarity with OAuth, webhooks, data sync models, and reconciliation</li>
<li>Experience defining API standards and versioning strategies</li>
</ul>
Level-specific expectations
Senior Product Manager (L4)
<ul>
<li>Own the ERP Connectivity roadmap and execution end-to-end</li>
<li>Operate independently within the domain</li>
<li>Drive delivery with engineering and partners</li>
<li>Make strong tactical decisions with limited guidance
</li></ul>Group Product Manager (L5)
<ul>
<li>Set strategic direction for ERP connectivity across the API platform</li>
<li>Influence API standards and integration strategy beyond the domain</li>
<li>Act as a mentor to other PMs</li>
<li>Partner closely with leadership on long-term platform strategy</li>
</ul>
Why Ebury?
<ul>
<li>Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.</li>
<li>Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.</li>
<li>Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.</li>
<li>Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.</li>
<li>Dynamic &amp; Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.</li>
<li>Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.</li>
<li>Central London Office: A fantastic location with excellent transport links.</li>
</ul>
Ready to launch your career with a global FinTech? Click the 'Apply' Today and discover your potential at Ebury!

#LI-GC2

#LI-HYBRID<div> 
About us

Ebury delivers sophisticated, integrated solutions &mdash; business accounts, hedging, and financing &mdash; on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we're always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story. 


Important Security Notice for Job Applicants: 
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity. 
 
Notice to Recruitment Agencies and Search Firms: 
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. 
 
AI Transparency Statement: 
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.</div></div>

Staff Product Manager - API Connectivity

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