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
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