Senior AI Project Manager

Senior AI Project Manager Data & Analytics Division | Enterprise | Full-Time Department: Data & Analytics / AI Center of Excellence Role Overview We are seeking a Senior AI Project Manager to lead high-impact, enterprise-scale Data & Analytics initiatives. In this role, you will serve as the connective tissue between data scientists, ML engineers, business stakeholders, and executive leadership — driving AI projects from concept through delivery with rigor, clarity, and strategic intent. You will be responsible for managing the full project lifecycle of data-intensive AI programmes, ensuring alignment with business objectives, governance standards, and enterprise risk frameworks. Key Responsibilities Project Delivery & Governance • Own end-to-end delivery of enterprise Data & Analytics and AI initiatives, from scoping and planning through execution and post-launch review. • Define and maintain project charters, roadmaps, risk registers, and stakeholder communication plans. • Apply structured methodologies (Agile, CRISP-DM, hybrid) appropriate to the complexity of each AI workstream. • Ensure adherence to enterprise PMO standards, data governance policies, and audit requirements. Stakeholder & Cross-functional Leadership • Act as primary liaison between Data Engineering, Data Science, Business Intelligence, and senior business stakeholders. • Facilitate steering committee updates, executive briefings, and cross-functional working groups. • Translate complex technical outputs (model performance, data pipeline architecture) into actionable business insights. Risk, Dependency & Budget Management • Proactively identify, escalate, and mitigate project risks, dependencies, and blockers across multi-team programmes. • Manage project budgets, resource allocation, and vendor relationships across analytics tooling and platform contracts. • Track and report on project KPIs, OKRs, and value realisation metrics. AI & Data Programme Oversight • Manage concurrent workstreams across predictive analytics, business intelligence, data platform modernisation, and AI model deployment. • Partner with Data Architects and ML leads to ensure data readiness, pipeline integrity, and model operationalisation timelines are met. • Drive adoption of enterprise analytics platforms (e.g., Databricks, Snowflake, Power BI) across business units. Required Qualifications • 8+ years of project/programme management experience, with at least 3 years leading Data & Analytics or AI/ML projects in an enterprise environment. • Proven track record delivering large-scale data transformation programmes (data warehousing, BI modernisation, predictive analytics). • Strong understanding of the end-to-end analytics lifecycle: data ingestion, transformation, modelling, visualisation, and productionisation. • Proficiency with project management tools: Jira, Confluence, MS Project, or equivalent enterprise PPM platforms. • Experience working within enterprise governance and risk frameworks (e.g., data privacy, model risk, GDPR compliance). • Exceptional stakeholder management skills — ability to operate comfortably from engineering teams to C-suite audiences. • PMP, PRINCE2, or equivalent project management certification. Preferred Qualifications • Familiarity with cloud data platforms: Azure (Synapse, ADF), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). • Exposure to MLOps practices and tools (MLflow, Azure ML, SageMaker). • Experience in regulated industries (financial services, healthcare, manufacturing) with complex data compliance requirements. • Certification in data-adjacent areas (e.g., Azure Data Fundamentals, Google Data Engineer, Databricks Certified Associate). • Working knowledge of Python or SQL — sufficient to assess technical feasibility and engage meaningfully with engineering teams. Core Competencies Leadership & Influence Technical Acumen • Executive-level communication • Conflict resolution & negotiation • Change management • Strategic thinking • Data platform literacy • AI/ML lifecycle awareness • Agile & waterfall delivery • Risk & dependency management What We Offer • Competitive senior-level compensation package with performance bonus. • Opportunity to shape AI and data strategy at enterprise scale. • Access to cutting-edge cloud and analytics platforms. • Structured career path toward Director of AI Delivery or Head of Data Programmes. • Hybrid working model with flexible arrangements. • Continuous learning budget and professional certification support.