Version 1

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. As a Customer Delivery Director, you'll be the driving force behind delivery performance, customer health, renewals, and expansions for key accounts. Working closely with your Account Director partner, you'll own the complete customer success journey while maintaining commercial discipline and delivery excellence. This partnership will be responsible for delivery excellence and commercial growth, driving sustainable revenue and exceptional customer satisfaction What You'll Do Lead Customer Relationships Build trusted partnerships with senior customer stakeholders Lead governance including steering committees and performance reviews both internally and directly with the Customer Manage escalations proactively and ensure rapid resolution Drive customer satisfaction targets and retention Drive Delivery Excellence Provide strategic oversight across all customer engagements Lead multi-disciplinary teams and ensure consistent quality Implement best practices and drive continuous improvement Own on-time, on-budget delivery across all projects Own Commercial Performance Manage financial performance Identify growth opportunities and drive expansion within accounts Support contract negotiations, renewals, and change control Collaborate with Commercial teams to develop new opportunities Build High-Performance Teams Foster a culture of transparency, accountability, and empowerment Promote employee engagement and professional development Qualifications What We're Looking For Experience of working in a similar role in the Financial Services market, preferably in the Capital Markets domain Exceptional leadership and stakeholder management abilities Strong executive presence and communication skills Commercial acumen with a customer-centric mindset Strategic thinking combined with operational discipline Proven track record growing accounts and achieving high customer satisfaction Comfortable working with numbers and financial metrics Ability to thrive in fast-paced, high-accountability environments What Success Looks Like High customer satisfaction Account Growth and revenue retentionMeeting and exceeding commercial targets Consistent on-time, on-budget, excellent delivery Why This Role Matters You'll be instrumental in strengthening our most important customer relationships while driving meaningful growth. This role offers the unique opportunity to shape customer success strategy, lead high-performing teams, and make a direct impact on both customer outcomes and business performance. Reporting to the Chief Customer Success Officer, you'll work at the intersection of delivery, commercial excellence, and customer satisfaction - bringing a growth mindset to everything you do.

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. Design, build, and deploy machine learning solutions that solve real business problems, moving from prototype to production. Apply traditional ML (e.g., regression/classification/clustering) and deep learning techniques where appropriate, selecting models based on evidence and constraints. Demonstrate strong ML fundamentals, including the mathematics behind models (probability, statistics, optimisation, linear algebra), and explain trade-offs clearly. Develop and deploy ML and data science solutions from proof of concept to production Perform data exploration, feature engineering, and model development on large datasets Track experiments, metrics, and model versions (e.g. MLflow) Collaborate with data engineers and AI engineers to integrate models into platforms Continuously improve models based on performance, feedback, and data drift Qualifications Required Skills & Experience 5+ years in applied machine learning and deep learning roles Strong grounding in core ML concepts and their mathematical basis: Probability & statistics, hypothesis testing, bias/variance, regularisation Optimisation (e.g., gradient-based methods), loss functions, evaluation metrics Linear algebra fundamentals used in ML (vectors/matrices, decompositions at a practical level) Solid practical experience with traditional ML modelling (feature engineering, model selection, validation, and error analysis). Demonstrable exposure to deep learning (architectures, training dynamics, evaluation), beyond "surface-level" familiarity. Proven ability to build good quality software, not just models-clean code, testing, debugging, and maintainable design. Strong programming skills (typically Python; additional languages a plus) and experience integrating ML into production systems. A clear problem-solving mindset: structured thought process, ability to reason through ambiguous requirements, and iterate effectively. Hands-on experience delivering ML solutions end-to-end, including prototyping, validation, and production/operations. Experience with Databricks and Spark Hands-on use of MLflow or similar model lifecycle and MLOps frameworks Experience with deep learning frameworks (e.g. PyTorch) Practical experience with GenAI / LLMs Exposure to AWS Bedrock & AWS SageMaker Strong SQL and data analysis skills Nice to Have Experience in regulated or security conscious environments Familiarity with model governance , monitoring, and managing model performance over time. Exposure to production model deployment patterns Familiarity with Responsible AI and model governance Client facing or consulting experience