Data Delivery Manager (AI / Data Platforms)
We are seeking an experienced Data Delivery Manager to lead large-scale Data & AI initiatives, including advanced Generative AI and Machine Learning solutions. This role calls for a leader with strong delivery discipline, a deep knowledge of data ecosystems, and the capability to drive complex transformation programs across business and technology teams.
You will play a key role in guiding high-impact AI and data initiatives, collaborating with senior stakeholders and expert engineering teams to implement scalable solutions that influence business outcomes.
Responsibilities
- Lead end-to-end delivery of complex Data & AI programs, ensuring execution from strategy and architecture definition to production deployment
- Collaborate with senior business stakeholders, data scientists, and engineering teams to define scalable data and AI solutions
- Deliver modern data platforms, including data pipelines, analytics capabilities, and AI/ML solutions in cloud environments
- Establish delivery governance, execution frameworks, and KPIs to ensure predictable high-quality outcomes
- Manage cross-functional teams and vendors, aligning stakeholders toward unified objectives
- Ensure compliance with data governance, security, and regulatory standards within AI-driven environments
- Identify delivery risks and implement proactive mitigation strategies in complex, dynamic environments
Requirements
- Background in delivering large-scale Data Analytics / Data Science / AI initiatives
- Understanding of data platforms, data engineering, and modern analytics ecosystems
- Awareness of machine learning and generative AI concepts and their enterprise applications
- Familiarity with public cloud platforms, data platform modernization, or cloud migration programs
- Ability to navigate complex delivery landscapes involving diverse teams, technologies, and stakeholders
- Leadership presence with communication skills tailored to technical teams and executive stakeholders
- Background in building and operating in AI SDLC frameworks: Agentic workflows, autonomous agents, AI Modernization, etc.
- Proficiency in Agile or hybrid delivery environments
