PwC Ireland
AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory
- Compensation
- Not disclosed
- Location
- Dublin, Ireland
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- Proven end‑to‑end delivery of AI and data solutions into production, not just strategy or proof‑of‑concept; applied experience in NLP/document extraction, generative AI workflows or agent‑based automa
- Strong proficiency in Python, SQL and modern analytics engineering (e.g., dbt), including data modelling patterns and transformation pipeline orchestration for production‑grade data and AI application
- Strong leadership across teams—coaching and developing technical consultants (onshore/nearshore/offshore) into high‑performing delivery teams.
- 8+ years of experience in solution design and technical delivery, with recent senior accountability for outcomes across multiple workstreams.
- Director level requires 15+ years of experience with significant experience within the Irish market.
Nice to have
- Experience delivering in regulated environments (e.g., financial services, insurance, public sector) where governance, auditability, risk management, Responsible AI, data privacy and security‑by‑desig
- Hands‑on proficiency with cloud data platforms—Snowflake, Azure Data Services, Databricks.
- Experience with modern deployment practices (CI/CD, testing, observability) and containerised services (Docker/Kubernetes).
- Experience with low‑code AI and automation tools (Microsoft Power Platform, Microsoft Copilot Studio, Salesforce Agentforce).
- Data strategy and governance expertise—including operating model design, data ownership, stewardship, data quality management, lineage/metadata, access controls and 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.
Full description
Job Summary
PwC Ireland – Bring Your Talent, Grow Your Skills, Unlock Your Potential
Our Data & AI Consulting team leverages technology to solve complex business problems for clients across financial services, government, healthcare, technology, media and telecoms. You will join a community of technology and digital leaders who scope and deliver large transformation programmes in complex, matrix environments.
Purpose‑led work you’ll be part of
As a Senior Manager, you will lead AI‑enabled, data‑driven engagements and help shape our market proposition. You own solution direction from discovery and design through build, deployment and adoption, bridging business needs with technical implementation and translating 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—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 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/steer‑co packs, quality assurance and benefits tracking.
Practice & Commercial Growth
- Expand existing client relationships by converting proven delivery into repeatable, scalable opportunities and building a pipeline from within active accounts.
- Contribute to proposals, go‑to‑market and thought leadership by shaping points of view, accelerators, demos and case studies.