Data & AI Transformation Senior Manager / Director - Data & AI Consulting - Advisory

Purpose-led work you’ll be part of 

As a Senior Manager, you’ll lead AI-enabled, data-driven engagements and help shape our market proposition. This is a role where strategy meets execution: you’ll own solution direction from discovery and design through build, deployment and adoption; bridge business needs with technical implementation; and translate emerging AI capabilities into practical, governed and scalable outcomes. 

Role & Responsibilities: 

AI Solution Delivery  

• Lead multi-workstream AI engagements end-to-end — from solution design through production deployment — across use cases such as intelligent document extraction, automated variance analysis, compliance agents, and generative AI workflows 

• Architect and assure technical solutions across data platforms, integration patterns, and deployment approaches, ensuring designs are secure, scalable, cost-conscious, and production-grade 

• Apply AI and advanced analytics to unstructured data challenges in remediation, compliance, and large-scale document review contexts where auditability, traceability, and governance are non-negotiable 

• Define target-state data and AI operating models — including governance, ownership, decision rights, Responsible AI controls, human-in-the-loop design, and data product management (lineage, quality, metadata, stewardship) — to ensure solutions remain trusted and usable beyond go-live 

Delivery Management 

• Engage with senior client leadership to define data strategy, assess control execution, identify reporting gaps, and design future-state data capabilities aligned to business strategy 

• Translate complex technical capabilities into clear business outcomes — quantifying value in terms of hours saved, manual effort eliminated, improved controls, enriched data quality, and strengthened auditability 

• Own programme governance and delivery excellence including financial management, planning, RAID management, executive reporting/steerco packs, quality assurance, and benefits tracking 

Practice & Commercial Growth 

• Expand existing client relationships by converting proven delivery into repeatable, scalable opportunities — building pipeline from within active accounts and shaping longer-term commercial relationships grounded in tangible value 

• Contribute to proposals, go-to-market and thought leadership by shaping points of view, accelerators, demos, and case studies—translating delivery learnings into repeatable offerings 

• Codify reusable delivery assets, governance approaches, and solution patterns drawn from live client work to accelerate future engagements and strengthen the practice 

Team Leadership & Culture 

• Build team capability and culture through coaching, performance management, on-the-job training, and active contribution to hiring and onboarding 

Your Profile: 

Required: 

• Proven end-to-end delivery of AI and data solutions into production (not just strategy or proof-of-concept), including applied experience in NLP/document extraction, generative AI workflows, or agent-based automation — with working knowledge of MLOps/LLMOps practices including evaluation, monitoring, and model lifecycle management 

• Strong proficiency in Python, SQL, and modern analytics engineering (e.g., dbt or equivalent), including data modelling patterns and transformation pipeline orchestration for production-grade data and AI applications 

• Strong leadership across teams — coach and develop technical consultants (onshore/nearshore/offshore) into high-performing delivery teams 

• 8+ years’ experience in solution design and technical delivery, with recent senior accountability for outcomes across multiple workstreams 

• At that the director level 15+ years’ experience is required with significant experience within the Irish market 

Preferred: 

• Experience delivering in regulated environments (e.g., financial services, insurance, public sector) where governance, auditability, risk management, Responsible AI, data privacy, and security-by-design are non-negotiable 

• Hands-on proficiency with cloud data platforms — one or more of: Snowflake, Azure Data Services, Databricks 

• Experience with modern deployment practices (CI/CD, testing, observability) and containerised services (Docker/Kubernetes) to support production-grade solutions 

• Experience with low-code AI and automation tools: particularly Microsoft Power Platform, Microsoft Copilot Studio, and/or Salesforce Agentforce 

• Data strategy and governance expertise including operating model design, data ownership/stewardship, data quality management, lineage/metadata, access controls, and control/audit evidence 

• Strong client leadership: able to shape problem statements, challenge constructively, and secure decisions with senior stakeholders in ambiguous environments 

• Commercial aptitude: shaping scope, estimating, writing proposals, and managing engagement economics (margin, resourcing, and risk)