Delivery Lead - Insights & Data

Role PurposeThe Delivery Lead will own the end-to-end delivery of complex data, analytics and AI engagements for clients in Singapore and across the region. This is a senior, client-facing leadership role combining delivery governance, commercial accountability, technology oversight, stakeholder management and team development. The role will ensure that programmes are delivered safely, predictably and profitably while creating trusted client relationships and identifying opportunities for delivery-led growth.Key ResponsibilitiesEnd-to-End Delivery LeadershipOwn delivery from mobilisation and planning through execution, transition, closure and benefits realisation across data, analytics and AI programmes.Be accountable for scope, schedule, budget, quality, outcomes, resourcing, dependencies, risks, issues and change control.Establish an effective delivery operating rhythm with clear workstream ownership, governance forums, decision paths, status reporting and escalation mechanisms.Lead Agile, hybrid or programme-based delivery models, selecting the approach appropriate to client governance, regulatory requirements and solution maturity.Drive predictable execution across distributed onshore, nearshore and offshore teams, partners and subcontractors.Client and Stakeholder LeadershipAct as the senior day-to-day delivery partner for client executives, business leaders, data offices, technology teams, risk functions and programme sponsors.Translate business priorities into an executable roadmap, measurable outcomes and transparent delivery commitments.Facilitate steering committees, executive reviews and recovery discussions, presenting complex issues with clear options, impacts and recommendations.Build trusted relationships through proactive communication, sound judgement and early management of delivery concerns.Data, Analytics and AI Delivery OversightProvide delivery oversight across enterprise data platforms, data lakes and warehouses, cloud data modernisation, BI and analytics, data governance, machine learning, GenAI and MLOps initiatives.Partner with architects and engineering leaders to ensure solutions are scalable, secure, supportable and aligned to enterprise architecture and non-functional requirements.Coordinate work across data ingestion, modelling, quality, metadata, governance, reporting, analytics and AI consumption layers.Ensure appropriate controls for data privacy, security, model risk, responsible AI, regulatory compliance and operational readiness.Commercial and Account ManagementOwn programme financial performance, including forecasting, effort and capacity planning, margin protection, milestone billing, change requests and commercial risk.Maintain delivery commitments aligned to contractual obligations, acceptance criteria, service levels and client expectations.Identify follow-on opportunities arising from delivery, support account planning, and contribute to proposals, estimates, solution shaping and commercial reviews.Work closely with sales, client partners and practice leaders to balance client value, delivery feasibility andsustainable growth.People and Capability LeadershipLead, coach and develop programme managers, delivery managers, architects, engineers, analysts, data scientists and partner teams.Create a high-accountability and inclusive delivery culture focused on client outcomes, engineering quality, collaboration and continuous improvement.Provide input to workforce planning, hiring, pyramids, succession, capability development and deployment of the right skills at the right time.Capture reusable delivery assets, lessons learned and accelerators for the wider Insights & Data practice.Required Experience and QualificationsApproximately 15+ years of technology consulting or services experience, including significant leadership of large, complex data, analytics or AI programmes.Proven accountability for multi-workstream delivery, programme financials, commercial governance, senior stakeholders and globally distributed teams. Strong understanding of modern data and AI ecosystems, including cloud platforms such as Microsoft Azure, Amazon Web Services and Google Cloud Platform; experience with platforms such as Databricks, Snowflake or equivalent is advantageous.Experience managing delivery controls covering architecture, engineering quality, testing, DevSecOps, release management, service transition, security, privacy and data governance.Demonstrated ability to manage ambiguity, recover challenged programmes, negotiate trade-offs and drive decisions in complex matrix organisations.Excellent executive communication, facilitation, presentation and written skills, with the credibility to engage business and technology leaders.Bachelor’s degree in technology, engineering, computer science, business or a related discipline. Relevant cloud, data, Agile or programme management certifications are desirable.