Lead Entity Controller Jobs

Project Manager – Wealth & Asset Management Location: London | Practice Area: Wealth & Asset Management | Type: Permanent Lead complex Wealth & Asset Management transformation across the Front, Middle and Back Office, driving operational excellence and successful post-integration outcomes. The Role We are seeking an experienced Project Manager to support large-scale Wealth & Asset Management (WAM) transformation programmes, with a focus on specialist change across the Front, Middle and Back Office, Operational Excellence and Post-Integration delivery. This role will play a key part in overseeing end-to-end transformation across the WAM value chain. You will work closely with client stakeholders, business, operations and technology teams to deliver operating model change, optimise processes and controls, integrate organisations and capabilities following mergers or acquisitions, and drive sustainable improvements to client and operational outcomes. As AI continues to reshape financial services, you'll be expected to embrace AI-enabled ways of working, using approved AI and automation tools to enhance productivity, accelerate analysis, improve delivery quality and support better client outcomes, while always applying human judgement and responsible AI practices. You'll also help clients identify opportunities to embed AI-enabled capabilities into programme delivery and future operating models where appropriate, supporting innovation while maintaining robust governance and oversight. What You’ll Do Lead complex WAM transformation initiatives spanning Front, Middle and Back Office, coordinating business, operations, technology and change teams to deliver successful outcomes. Drive Operational Excellence initiatives, identifying opportunities to optimise processes, strengthen controls, improve service delivery and realise measurable efficiencies through technology, automation and approved AI-enabled ways of working. Lead Post-Integration transformation, i

Job Title: Aseptic Services Accountable Pharmacist Banding: Band 8b Location: Pharmacy Department – Aseptic Services Start Date: ASAP (subject to notice) Duration: Ongoing Hourly Rate: Competitive – dependent on experience Working Hours: Full-time Job Overview We are seeking a highly skilled and experienced Aseptic Services Accountable Pharmacist to lead and manage the Pharmacy Aseptic Unit. This senior role is responsible for ensuring full compliance with national standards, overseeing safe and cost‑effective aseptic preparation services, and providing expert pharmaceutical guidance across the Trust. The postholder will act as the Accountable Pharmacist as defined in the Quality Assurance of Aseptic Preparation Services , providing strategic leadership across Cytotoxic Reconstitution, Parenteral Nutrition, and CIVAS services within Salisbury NHS Foundation Trust. Key Responsibilities Act as the Trust Accountable Pharmacist for the Aseptic Unit , ensuring compliance with national Quality Assurance standards and relevant Medicines Act requirements. Lead, manage and develop all aspects of the Pharmacy Aseptic Unit, ensuring safe, efficient and high‑quality preparation of complex sterile injectable products. Provide expert clinical and technical advice on stability, compatibility, aseptic preparation processes, facilities, and associated risk management. Lead on the development and maintenance of the Pharmaceutical Quality System (PQS) , internal audits, and quality improvement activities. Serve as the Trust lead for external audits (EL97, EL52), ensuring timely completion of corrective actions and ongoing compliance. Ensure effective professional supervision and operational governance under the Section 10 exemption of the Medicines Act 1968. Provide specialist advice to clinicians, nursing teams and service users regarding prescribing, preparation and administration of complex injectable medicines. Oversee environmental monitoring in line with national guidance, ensur

About the role Sana Biotechnology is growing, and we are hiring new team members who believe in the potential of engineered cells as medicines, who are passionate about delivering the possible to patients, and who lead with the desire to work on novel ideas. As an MSAT Director, you will report to the Executive Director of MSAT and support manufacturing of Sana’s stem cell-derived pancreatic islet cell program for persons with type 1 diabetes (SC451). You will lead an MSAT team responsible for the PSC seed train and differentiation to beta cells at an external partner. You will define and execute the technology transfer strategy in alignment with program timelines and provide your team with technical mentorship. Your team will provide technical coverage at an external manufacturing partner throughout the phase I manufacturing campaign including people-in-plant, executed batch record review, investigations, and batch summaries. You will collaborate with internal partners across Quality, External Manufacturing, and Supply Chain to complete batch disposition. You will draft applicable CMC sections of regulatory documents (IND module 3). What you’ll do Lead a team of 2-4 individuals supporting Phase I manufacturing of a PSC-derived pancreatic islet cell therapy product Partner with CDMO technical team to achieve manufacturing readiness and address technical challenges Oversee people-in-plant, manufacturing operator training, technical documentation, and process execution Author CMC sections for regulatory filings (IND module 3) and other technical documents Collaborate with Quality to close deviations, analyze manufacturing trends, and recommend process improvements Lead investigations and troubleshoot process execution challenges including root cause analysis Perform comparability studies in collaboration with Research and PD teams to assess technology transfer success Engage in crucial conversations by providing and receiving feedback supporting the growth and d

About the role Sana Biotechnology is growing, and we are hiring new team members who believe in the potential of engineered cells as medicines, who want to challenge the status quo, and who lead with the desire to work on novel ideas. You will join the Beta Islet Team at the Cambridge location to optimize 3D expansion and differentiation in stem cell (SC)-islet differentiation. As a Senior Scientist, you will execute optimization experiments critical to scaling up our differentiation process. The ideal candidate should have ample experience handling bioreactors and performing directed PSC differentiation in 3D. The ability to work in a highly collaborative environment and learn from each other will be essential to your success. What you’ll do Execute routine 2D and 3D PSC expansion, passaging and directed SC-islet differentiation Design optimization experiments with the goal to achieve a highly scalable and robust 3D SC-islet differentiation process that is compliant to manufacturing standards Optimize the differentiation protocol to achieve highly pure on-target populations Hands-on experience with closed systems (tube welder, sealer, single-use assemblies) Expertise in controlled bioreactor setup, operation, automation, and process control (DO, pH, perfusion, agitation) Collaborate and communicate findings with other team members Maintain excellent scientific documentation and contribute to SOP development Assure compliance with all relevant lab safety and biosafety regulations Demonstrate Sana’s core values and the attributes that support these core values (Lead from every seat, Thrive as a team, Make it happen) Engage in crucial conversations by providing and receiving feedback supporting the growth and development of team member Demonstrate ability to engage and effectively influence team members across multidisciplinary teams while prioritizing multiple projects and meeting deadlines Drive curiosity, scientific rigor, and excellent problem-solving skill

Senior Service Designer Location: London (Hybrid) | Practice Area: Product & Experience | Type: Permanent Design with impact. Lead with empathy. Transform experiences. The Role Capco is looking for a Senior Service Designer to help create customer-centric products and services that drive meaningful change in financial services and energy. You’ll work on complex transformation programmes addressing today’s most relevant challenges, from advancing inclusive design in high-street banking to helping global organisations adopt customer-driven operating models. You'll also help clients identify where AI-enabled capabilities can enhance customer experiences and service delivery in a responsible and user-centred way. What You’ll Do Facilitate senior-level workshops and lead discovery activities to define experience design strategies. Translate user needs into concepts, service blueprints, and artefacts that align business strategy with user needs. Identify opportunities to incorporate AI-enabled capabilities, such as personalisation or automation, into service concepts where they enhance customer and business outcomes. Support the design of customer journey management approaches, including AI-enabled insight where appropriate to improve service performance and decision-making . Oversee end-to-end design delivery, managing roadmaps and timelines. Promote the value of design across multi-disciplinary teams and client stakeholders. Become a trusted advisor to clients, identifying and leading new opportunities that address their challenges. What We’re Looking For Strong expertise in service design methods and customer experience practices. Proven ability to lead change and influence senior stakeholders. Experience in Customer Journey Management, including specialist tools such as Theydo and how analytics support journey optimisation. An understanding of how AI-enabled capabilities can enhance service design and customer experience outcomes. Experience working in agile, cros

Principal Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the architecture of data platforms driving the future of financial services. The Role As a Principal Azure Data Engineer ( Databricks ) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients modernise their data capabilities. Working with cross-functional teams, you'll guide clients on technical strategy and best practices while ensuring quality, security, and governance standards are maintained across deployments. You'll also champion AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Architect and lead the end-to-end delivery of Databricks -based data platforms across Azure environments. Design secure, scalable data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services, applying AI-enabled engineering approaches where appropriate. Establish and promote engineering best practices across the data lifecycle, ensuring robust governance, quality, and operational excellence. Partner with clients to define technical strategy, data architecture, and governance frameworks that align with business objectives. Mentor engineering teams, develop internal capability, and encourage the responsible use of approved AI tools and automation to enhance delivery and collaboration. What We're Looking For Proven expertise with the Databricks platform, including Unity Catalog, Delta Lake, orchestration, and enterprise-scale Azure deployments. Strong technical skills in Python , PySpark , and distributed data pr

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

Applied AI & Analytics - Principal Consultant Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Lead AI-enabled data and analytics programmes that deliver measurable impact across Financial Services. Lead the AI future. The Role You’ll lead complex, AI-enabled data and analytics programmes across the financial services sector, combining strategic leadership with deep expertise in applied AI, machine learning and advanced analytics to help clients deliver measurable outcomes at scale. What You’ll Do Scope, prioritise and shape AI and analytics initiatives across top-tier financial institutions Lead end-to-end delivery, from problem definition through to delivery, balancing business value, technical feasibility and data readiness Own delivery outcomes across AI-enabled initiatives, working hands-on with data scientists, engineers and client stakeholders Provide leadership and mentoring to data scientist and AI engineers, supporting capability growth across analytics, AI and ML Represent Capco’s Data Practice externally, contributing to AI-focused propositions, partnerships and thought leadership What We’re Looking For Proven experience leading AI-driven data and analytics programmes within consulting or complex enterprise environments Strong expertise across applied AI, machine learning, advanced analytics and their integration into modern data platforms to guide delivery, challenge design decisions and ensure solutions scale in production Knowledge about evolving cutting-edge AI technologies - including Agentic AI, GenAI advancements, Knowledge Graphs etc. Demonstrated ability to translate AI and analytics capabilities into clear business value for senior stakeholders Experience designing, governing and scaling AI solutions within regulated Financial Services environments Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experie

Data & AI Strategy Consultant – Manager/Senior Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Craft bold strategies. Inspire data-driven transformation. Lead the AI future. The Role Join Capco's Data Strategy & Advisory team as a Manager or Senior Manager, shaping enterprise-level AI and data strategies for the world's leading financial institutions. This is a high-impact role for strategic thinkers passionate about the intersection of data, AI and business value. You will guide clients in envisioning and realising AI-driven competitive advantage—beyond tooling and beyond pipelines—while helping organisations adopt AI-enabled ways of working responsibly, balancing innovation with governance, human judgement and measurable business outcomes. What You'll Do Partner with C-suite clients to define strategic AI ambitions, aligning enterprise data and AI capabilities with business priorities, competitive differentiation and long-term value creation. Act as a subject matter expert on emerging AI and data technologies, advising clients on how to responsibly adopt innovations—including Generative AI, Agentic AI and intelligent automation—to accelerate business outcomes. Lead the definition of enterprise data and AI strategies, identifying high-value use cases and translating them into practical roadmaps that balance opportunity, risk, governance and organisational readiness. Facilitate executive workshops, visioning sessions and strategic decision-making, developing compelling board-level narratives and investment cases while using AI-enabled insights and approved AI tools to enhance analysis and strategic recommendations. Collaborate across Capco's Engineering, Architecture, Risk, Product, Innovation and Data teams to ensure strategic recommendations are actionable, commercially viable and aligned with responsible AI principles. Beyond client delivery, you will also: Contribute to Capco's perspective on how AI is reshaping

Senior Data Architect Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future. Empower data transformation. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Financial Services clients. In this senior consulting role, you'll guide clients through their data transformation journeys—defining strategy, designing architecture and building scalable, cloud-based platforms. You'll help organisations create modern data foundations that enable advanced analytics, AI and future digital capabilities, while championing AI-enabled ways of working and responsible architecture practices. What You'll Do Lead agile consulting engagements focused on modern data architecture, cloud transformation and the design of scalable platforms that support analytics and AI workloads. Define and implement enterprise data strategies across programmes and business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities. Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles. Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics and AI. What We're Looking For Proven experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments. Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted Contribute to team enablement by mentoring peer

Senior Data Scientist Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement. What You’ll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments. Develop and prototype ML models to solve complex business challenges using modern techniques and tooling. Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight. Guide and coach data science pods, supporting skill development and solution design. Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable. What We’re Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practi

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. What You’ll Do: Work with your AE to generate pipeline. Includes validating spokes, aligning messages to target personas, working the customer's technical organisation through your own network and meeting customers where they are: conferences, meetups or on-site Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, solution workshops, etc. that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives and in circumstances where the demo is the whole impression. Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and prospect input to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Contribute to team enablement by mentoring peer

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or compar

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle. Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation. Mentor and develop data professionals, fostering a culture of innovation, continuous learning. What We’re Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterpri