Practice Lead, Data Operating Model & Enablement

BlueCrest Capital Management

Department overview: The Front Office AI Technology Team sits within the Front Office Technology department and provides a shared capability for the development, operation, and adoption of AI across the firm. The team is responsible for building and supporting enterprise‑grade AI capabilities, including LLM‑powered applications, retrieval‑augmented generation (RAG) systems, agent‑assisted workflows, and scalable internal AI tooling. We develop the core AI foundations required to deploy AI safely and at scale, while also working closely with the business to ensure these capabilities are used effectively in day‑to‑day workflows. This includes supporting experimentation, guiding practical adoption, and helping teams embed AI into real processes where it delivers measurable benefit. A key focus of The Front Office AI Technology Team is ensuring that AI solutions are reliable, secure, and aligned with the firm’s control and risk frameworks. The team balances innovation with discipline, providing common tooling, patterns, and guidance that allow AI to be used consistently and responsibly across research and operational contexts. Role overview: Key Responsibilities: AI Enablement & Integration * Act as a go‑to point of contact for teams who want to understand what AI tools are available and how to use them effectively. * Run workshops, demos, and hands‑on sessions that help users understand the benefit of using LLMs and emerging AI related technologies both for business users and more technical teams. * Support day‑to‑day adoption of Microsoft Copilot, ChatGPT and Claude alongside other approved AI tools by embedding them into real workflows. Training & Best Practice * Deliver practical training on prompt engineering, AI limitations, and good usage patterns for both technical and non‑technical audiences. * Create and maintain reusable materials such as prompt examples/libraries, walkthroughs, and short guidance notes. * Continuously refine training content based on user feedback and emerging best practice. Understanding Business Processes * Spend time with teams to understand their existing processes, pain points, and where work is slow, repetitive, or manual. * Help teams articulate problems clearly enough that AI tooling can be applied sensibly. * Map simple end‑to‑end workflows and identify realistic opportunities for AI assistance. Light Prototyping & Applied AI * Build simple prototypes or proof‑of‑concept workflows using Python, internal libraries, or approved AI APIs alongside tools such as MS Copilot Studio. * Pair with engineers or platform teams when ideas move beyond quick prototypes. * Focus on small, shippable improvements rather than large, speculative solutions. Feedback & Continuous Improvement * Collect structured feedback on what works, what doesn’t, and where users get stuck. * Share insights with The Front Office AI Tech Team, governance, and Infrastructure Tech teams to help guide tooling, documentation, and prioritisation. * Help surface recurring themes rather than one‑off requests. Adoption Metrics, Reporting & Insight * Support the definition and tracking of adoption metrics for approved internal AI tools. * Work with Front Office Technology and platform teams to help maintain simple reporting and dashboards that show usage and engagement patterns (for example: active users, frequency of use, and common use cases). * Monitor adoption trends and identify areas of low engagement or friction that may require additional enablement, training, or tooling changes. * Combine quantitative usage data with qualitative user feedback to build a clear view of how AI tools are being used in practice. * Share regular adoption insights with relevant stakeholders to inform prioritisation of training materials, documentation, and incremental improvements to AI tooling. Why this role exists: The firm is investing heavily in modern AI platforms and tools, but technology alone does not create value. Real impact comes when teams change how they work. This role exists to help front‑office and technology teams translate AI capability into everyday practice, replacing one‑off experimentation with well‑understood patterns, better habits, and repeatable workflows. Through hands‑on enablement, training, and applied problem‑solving, the AI Integration Lead ensures that AI use is both effective and appropriately governed, allowing teams to move faster without increasing operational or compliance risk. What makes this role different: This role offers the chance to work directly with trading desks, providing a rare and exciting opportunity to gain direct front-office exposure. You’ll work at the intersection of business context and applied AI: understanding how teams operate, then helping them adopt approved AI tools safely and effectively through training, workflow mapping, and lightweight prototyping. It’s ideal for someone who enjoys ambiguity, values practical impact over hype, and wants to see their work change how teams operate day-to-day.   Skills & Experience Essential: * Demonstrated interest in evolving applied AI technologies and their use in improving real business processes in a practical and controlled manner. * Experience delivering or supporting training, workshops, or enablement sessions for technical and non‑technical audiences. * Hands‑on experience using modern AI tools beyond typical end‑user interaction, including:                 - Practical understanding of prompt engineering techniques and common LLM failure modes                 - Experience grounding AI outputs in data (e.g. through document retrieval, APIs, MCP or structured context rather than free‑text prompting alone)                 - Exposure to designing AI‑assisted workflows that support repeatable tasks rather than one‑off interactions. * Familiarity with enterprise and low‑code AI tooling, such as Microsoft Power Apps, Power Automate, Copilot Studio, Claude Cowork, or similar workflow and AI enablement platforms. * Practical experience assessing AI output quality and limitations for real business use cases, and iterating prompts or workflows to improve reliability. * Comfortable working with Python at a practical level (scripts, APIs, data handling), without requiring production‑grade engineering expertise. * Strong communication skills, with the ability to explain technical concepts clearly to non‑technical users. * Comfortable operating in environments with evolving requirements, and able to iterate pragmatically rather than waiting for complete specifications. Desirable: * Familiarity with retrieval‑augmented generation (RAG) concepts at a practical level, such as working with internal documents or structured reference data. * Experience designing or supporting simple AI‑assisted workflows for document handling, summarisation, data extraction, or knowledge access. * Awareness of responsible AI considerations in regulated environments, including basic data handling, validation of outputs, and appropriate human review. * Exposure to lightweight agent‑style patterns (e.g. tool use, structured outputs, task decomposition), without requiring ownership of complex agent frameworks. About you: You are a bright and approachable individual who works well with others and enjoys understanding how different teams operate in practice. You are comfortable engaging with both technical and non‑technical stakeholders and are able to communicate clearly and pragmatically. Alongside your technical experience, you may bring experience from a client‑facing or commercially oriented role earlier in your career, which helps you understand business priorities and frame solutions in a way that resonates with users. You have a strong interest in applied AI and a genuine curiosity about how emerging tools can improve the way people work. You are motivated to explore new capabilities, experiment hands‑on, and understand where AI can add value in real workflows. Your approach is practical rather than theoretical, and you are focused on achievable improvements rather than technology for its own sake. You take a considered and responsible approach to AI integration. You are aware of the limitations of AI tools and the importance of appropriate controls, validation, and oversight, particularly in a regulated environment. You are comfortable discussing both the benefits and constraints of AI with users, helping set realistic expectations and encouraging sensible use. You work well in collaborative environments where priorities and requirements evolve. You are adaptable, open to feedback, and comfortable learning by doing. You take satisfaction from helping others build confidence with new tools and from supporting inte across teams, bringing a constructive and measured mindset to your work.   BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

Databricks

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

Triple Point

Since 2004, we’ve been bringing investment ideas to life and connecting capital with the right people and opportunities. Today, we manage more than £2.5 billion for a broad range of investors across five key investment strategies: Private Credit, Social Housing, Clean Heat, Energy and Venture. These strategies underpin the innovative range of investments we offer to both private (retail) and institutional clients.  There are 230+ employees at Triple Point, all committed to leaving the world demonstrably better than we found it. That’s why we’re a certified B Corp, signed up to the Principles for Responsible Investment, and were named a Sunday Times 'Best Place to Work  2025 & 2026'. If this sounds like an environment where you would flourish, then read on… The Function  The Digital and Technology team designs, builds and maintains the systems that power Triple Point. The function enables seamless connectivity, security and innovation across the organisation, creating tools and platforms that help colleagues and partners work smarter and deliver excellent outcomes.  The Team  This role sits within Technical Operations & Cyber, within the wider Digital and Technology function. The role works closely with colleagues across D&T, our MSP, our SOC and stakeholders across the business. The team is responsible for keeping our technology secure, reliable and high performing while improving delivery pace through automation, cloud engineering and emerging technology.  The Role  We are seeking a Senior DevOps Engineer to lead hands-on DevOps and platform engineering across Triple Point’s Microsoft cloud and AI delivery landscape.  You will design, build and operate secure deployment pipelines, automation, monitoring and infrastructure-as-code patterns that enable cloud and AI workloads to move safely and at pace. As our use of Claude Code, AI agents and automation grows, this role will provide the engineering foundations to run these capabilities reliably, securely and with clear governance.  Working closely with the Head of Technical Operations & Cyber and our Senior Cyber Engineer, you will help enable pragmatic, risk-aware decisions on cloud and AI tooling, ensuring a balance between delivery pace and security, governance and operational sustainability.  This is a delivery-focused role owning engineering work end-to-end, from discovery and design through to implementation, documentation and transition into BAU. You will help remove delivery bottlenecks, strengthen platform maturity and make practical recommendations that balance pace, reliability, security and usability.  Key Responsibilities  DevOps, Cloud Platform & CI/CD Engineering  * Design, build, maintain and improve CI/CD pipelines for cloud, integration, automation and AI workloads.  * Create reusable infrastructure-as-code patterns, templates and standards for secure, consistent cloud deployments.  * Improve release management, environment management and deployment controls across development, test and production environments.  * Support source control, branching, build, test and deployment practices that help teams deliver safely and efficiently.  * Build practical engineering standards for service principals, managed identities, secrets, configuration, certificates and environment separation.    Automation, AI Enablement & Developer Experience  * Enable safe, reliable deployment and operation of Claude Code, AI agents and similar AI-assisted development tooling.  * Automate repeatable operational, deployment and monitoring tasks to reduce manual effort and improve consistency.  * Develop self-service patterns, reusable scripts and documentation that make it easier for colleagues to adopt approved engineering practices.  * Work with current and future AI Team colleagues to lay the technical foundations for agent automation and cloud-based AI delivery.  * Identify opportunities to simplify tooling, reduce friction and improve the developer and stakeholder experience.    Reliability, Monitoring & Operational Readiness  * Design and improve monitoring, logging, alerting and reporting across pipelines, platforms and cloud workloads.  * Create runbooks, deployment checklists and operational handover materials that support effective BAU ownership.  * Support incident response, root-cause analysis and continuous improvement for deployment or platform reliability issues.  * Improve resilience, recovery and performance practices for key services and automation workloads.  * Use data from monitoring and service performance to recommend improvements and prioritise platform work.    Security, Governance & Documentation  * Embed security-by-design into DevOps practices, including least privilege, secure configuration, secrets management and change control.  * Work closely with Technical Operations & Cyber, the SOC and MSP partners to ensure cloud and AI tooling is operated securely.  * Maintain clear documentation of pipeline designs, infrastructure standards, access models, monitoring arrangements and operational guardrails.  * Support audits, assurance activity and evidence gathering where DevOps, cloud or platform controls are in scope.  * Balance security, usability and delivery pace when assessing risks, trade-offs and recommendations.    Collaboration, Planning & Continuous Improvement  * Plan and prioritise DevOps improvements based on impact, value, risk and delivery needs.  * Translate technical complexity into clear recommendations for technical and non-technical stakeholders.  * Partner constructively across Digital and Technology, internal stakeholders and external technology partners.  * Challenge current ways of working where needed and recommend pragmatic improvements with clear rationale.  * Share knowledge generously and help raise DevOps capability across the function and organisation.    Knowledge & Experience  Essential  * Significant hands-on experience in DevOps, platform engineering, cloud engineering or a closely related engineering role.  * Strong experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, GitLab CI or equivalent.  * Good working knowledge of Microsoft Azure and Microsoft cloud services, including deployment, access, monitoring and governance considerations.  * Experience with infrastructure-as-code and automation tools such as Terraform, Bicep, ARM templates, PowerShell or equivalent.  * Proficiency in Python for scripting, automation and tooling able to write, read and maintain production-quality scripts, not just adapt examples.  * Working knowledge of core Azure networking concepts, including VNets, NSGs, DNS, private endpoints and load balancers, with practical experience applying these in cloud and containerised workloads.  * Strong understanding of Git, source control workflows, release management, environment management and secure software delivery practices.  * Experience implementing monitoring, logging and alerting for cloud platforms, pipelines or application workloads.  * Strong grounding in cloud security principles, including identity and access, least privilege, secrets management, network security and secure configuration.  * Awareness of cloud cost management principles, including resource tagging standards, right-sizing, and governance for spend able to recommend efficient, cost-conscious approaches rather than just functional ones.  * Ability to translate technical requirements and risk considerations into pragmatic, well-documented engineering solutions.  * Comfortable working with the Head of Technical Operations & Cyber to make pragmatic, risk-aware decisions that balance delivery pace with security and governance requirements.  * Excellent communication skills, with the ability to work effectively with technical teams, senior stakeholders and external partners.  * A self-starter mindset, with strong planning, problem-solving and ownership of delivery outcomes.    Desirable  AI & Automation  * Experience deploying, governing or operating AI-assisted development tools, agent automation or cloud-based AI workloads.  Microsoft Platform  * Experience working with Microsoft 365, Entra ID, Intune, Sentinel, Azure Monitor, Log Analytics or similar Microsoft tooling.  * Relevant certifications such as AZ-400, AZ-104, AZ-305, AZ-500, Terraform Associate, GitHub certifications or equivalent hands-on experience.  Containers & Orchestration  * Experience with containers and orchestration technologies such as Docker, Kubernetes or Azure Container Apps.  Broader Platform & Integrations  * Experience supporting Salesforce, data platform, integration or business automation workloads.  Regulated Environments  * Experience working in a regulated services environment, ideally FCA-regulated.  Why Join us?  This is a key role at the point where DevOps, cloud automation and AI capability are becoming central to how Triple Point delivers technology safely and effectively.  * You’ll join a talented, collaborative team in a connected environment where ideas and initiative are valued.  * Be part of a growing and innovative team.  * We offer a competitive salary, a comprehensive benefits package, and genuine opportunities for growth and progression.  * Opportunities for professional development and career progression.  At Triple Point, high performance means living our values every day:  * Stay Curious.  * Be Generous.  * Take Thoughtful Action.  * Pull Together.  * Own It.  In line with our values Stay Curious and Take Thoughtful Action every employee has access to AI tools.  We see technology as a co-pilot, helping us improve efficiency and insight while keeping decisions grounded in thoughtful human judgement.  Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE.  Apply today for further information! Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company. Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team.  STRICTLY NO AGENCIES