Senior Technical Delivery Manager – Data & AI

Role Overview

• Lead delivery of large, sophisticated Data and AI programmes or multiple concurrent projects from inception through outcome delivery.
• Own demand planning, prioritisation, forecasting, and budgeting across the data delivery portfolio.
• Define, lead and supervise delivery to agreed methodology, quality standards, and architectural principles.
• Act as the primary partner concern point for delivery issues from a customer perspective and own effort estimation for delivery, bids, and engagement planning.
• Ensure formal acceptance of work and successful transition to steady-state operations.
• Engage with Solutions Architects to understand prioritised customer demand and use-case plans.
• Serve as the accountable technical lead across customers, selling teams and internal collaborators and lead senior customer relationships to set and handle expectations.
• Resolve sophisticated delivery customer concerns with senior leaders.
• Lead onboarding, enablement, launch and healthy production consumption of Data & AI workloads.
• Be the first point of contact for production and launch technical issues across multiple use cases.
• Develop and implement a clear point-of-view on accelerating priority Data & AI use cases into production and coordinate with Professional Services and partners to build and deliver engagement proposals.
• Navigate product and data engineering teams to support new product innovations, private previews, and upgrade needs.
• Drive adoption of modern data platform and Lakehouse architectures and address organic optimisation needs including cloud cost control, tuning and performance optimisation.
• Develop and run executive and operational governance across delivery programmes.
• Provide internal and external critical metric reporting on: Customer health and usage, Investment status, Key risks and dependencies, Product adoption, Use-case progression.
• Translate technical delivery into measurable business outcomes and value.

Requirements

• Minimum 8-10 years’ experience in IT delivery management and 5 years’ experience delivering Data and/or AI solutions at enterprise scale.
• Shown accountability for sophisticated Data & AI programmes in high-scale, distributed environments.
• Experience in customer-facing roles such as delivery management, consulting, architecture, pre-sales or customer success.
• Proven experience leading multi-disciplinary teams across onshore, nearshore and offshore locations and proven track record of over-achievement against delivery, commercial or growth targets.
• Strong data platform proficiency, including: Databricks (delivery and consumption context), Azure Data Hub (ADH) or equivalent enterprise data platforms, Distributed data systems and architectures, SAP suite of products
• BDC and SAC
• Programming experience in Python, SQL and/or Scala.
• Shown understanding of data engineering, AI/ML pipelines and cloud data platforms.
• Ability to give to technical build discussions and architecture decisions with customers.
• Strong programme and project management capability, including: Agile and hybrid delivery models, Commercial models (T&M, Fixed Price, Fixed Capacity), Resource planning, forecasting, risk and dependency management
• Experience delivering multi-practice engagements (platform, security, testing, managed services).
• Shown people leadership capability, including mentoring and developing delivery leaders.
• Bachelor's degree in computer science, Engineering, Information Systems, or equivalent professional experience. Master’s degree or equivalent experience desirable but not required.

Tech Stack

• Azure
• Cloud
• Python
• Scala
• SQL

Benefits

• Generous salary package including an annual bonus program and individual performance-based incentives!
• Additional EPF contributions totaling 15%.
• Excellent work-life balance & flexible working arrangements!
• Collaborative environment that celebrates achievements, diversity, and culture
• Ongoing career development and progression opportunities in a global organization
• 16 weeks paid parental leave (4 weeks partner leave)