Jobs at PA Consulting

Lead data engineering and platform teams in designing, delivering, and modernizing scalable enterprise data platforms. Make architectural decisions across ingestion, storage, processing, modeling, orchestration, governance, security, and serving. Establish software engineering, testing, CI/CD, infrastructure-as-code, observability, and data quality practices. Mentor engineers, guide clients through complex transformations, contribute to bids and proposals, and help teams apply GenAI with appropriate controls.

Designs end-to-end data and AI platforms for complex client programs, covering ingestion, orchestration, governance, security, cost optimization, and observability. Translates business needs into scalable and resilient architectures while leading engineering teams and delivery. Acts as a strategic client advisor, leads bids and business development, mentors consultants, establishes technical direction, and promotes best practices across data architecture and cloud technologies.

Designs end-to-end data architectures and blueprints for complex client programs, covering ingestion, orchestration, governance, security, cost optimization, observability, and AI capabilities. Leads engineering teams, translates business needs into scalable data solutions, manages client engagements, supports bids and business growth, develops thought leadership, and mentors team members. The role requires hands-on data experience, strong stakeholder collaboration, and expertise across major cloud and data platforms.

Deliver operational improvement and process optimisation consulting primarily for banking and wealth and asset management clients. Apply Lean and Six Sigma, service design, change management, digital technologies, and cost-improvement techniques. Lead workstreams, assignments, workshops, and diverse teams; develop evidence-based insights, realize business benefits, and influence senior stakeholders. Consultants also support training delivery, stakeholder relationships, and potentially business development.

Lead AI strategy engagements for private- and public-sector clients by identifying high-impact use cases, estimating ROI, creating implementation roadmaps, measuring performance, and overseeing transformation programs. Advise C-suite stakeholders, manage cross-functional consulting teams, communicate recommendations, assess industry trends, conduct AI company due diligence, and support business development and client relationship growth.

Design and build production data pipelines, data warehouses, and data lakes on AWS. Develop ingestion, curation, and data movement solutions for structured and unstructured data using Java, Python, Scala, Spark, SQL, and AWS services. Extract data through APIs, write scripts and queries, collaborate with clients and cross-functional teams, and apply agile engineering practices to deliver scalable digital solutions.

Partners with consulting and sector leadership to provide financial insight, forecasting, budgeting, variance analysis, profitability oversight, bid and pricing support, contract risk management, audit preparation, and compliance oversight. The role manages reporting, revenue recognition, working capital, subcontractor processes, and commercial performance while advising senior stakeholders and supporting strategic business initiatives.

Partners with consulting and sector leadership to deliver financial insight, forecasting, budgeting, variance analysis, profitability oversight, commercial risk management, audit readiness, and compliance. The role supports bids, contracts, pricing, job setup, invoicing, working capital, subcontractor processes, and strategic business decisions. It requires qualified accountancy credentials, advanced Excel and data analysis skills, senior stakeholder influence, commercial acumen, and prior line management experience.

Provide cybersecurity and digital trust consulting across client sectors. Shape cybersecurity strategies, guide business-model transitions, resolve cybersecurity issues, manage technical programs and teams, build stakeholder relationships, contribute to proposals and business development, and deliver client outcomes using agile and consulting approaches.

Prepare monthly group consolidations, consolidation journals, financial statements, annual report support, and audit responses. Provide technical IFRS accounting guidance, lead month-end close activities, maintain financial controls, and oversee UK and overseas company reporting. Manage finance systems, support other users, coordinate with overseas advisors, and ensure statutory reporting deadlines are met.

Provides first-line technical support to UK users in secure environments, handling requests, escalating issues, supporting business-critical systems, and contributing to IT projects. Maintains system availability and security by following strict data-management and operational processes. Produces usage reports and documentation, supports Windows, Azure, Office 365, Intune, and potentially Azure Virtual Desktop platforms. The role requires on-site work five days per week and occasional travel to other offices.

Leads software development teams and complex client solutions, shapes engineering strategies, builds senior stakeholder relationships, supports business development, develops service propositions, provides thought leadership, and coaches consultants. The role advises major clients on strategic and technology challenges while contributing to innovative offerings and business growth. Hybrid work requires at least two days weekly in an office or client site, potentially increasing to five days on-site.

Administer the monthly UK payroll using in-house software, ensuring employees are paid accurately and on time. Responsibilities include responding to payroll queries, supporting year-end returns, validating and reconciling payroll outputs, preparing costing files and month-end reports, reconciling payments to HMRC and pension providers, and creating or reviewing policies and procedures. The role also requires collaboration, process improvement, and flexibility in supporting wider team activities.

Design and deploy production data pipelines from ingestion through consumption using AWS cloud technologies. Build ETL pipelines, data warehouses, and data lakes; move and process large volumes of structured and unstructured data; integrate multiple sources; write scripts, extract data through APIs, and develop SQL queries. Collaborate with clients, stakeholders, product, design, and engineering teams using agile practices to deliver scalable digital solutions.

Develop embedded software for connected, low-power, and wearable products across the full lifecycle, from concept and demonstrators through launch and in-field improvement. Work closely with electronics, mechanical, and software engineers on RTOS, embedded Linux, and bare-metal systems. Implement communications protocols, testing, documentation, hardware bring-up, and integration while communicating technical concepts to clients and multidisciplinary teams.

Develop and deploy AI systems using generative AI frameworks, LLMs, RAG pipelines, knowledge graphs, vector stores, and agentic architectures. Integrate models with APIs, data sources, and production systems while applying cloud-native, DevOps, prompt engineering, evaluation, observability, and LLMOps practices. Collaborate with clients and cross-functional teams in an agile consulting environment, prototype emerging technologies, and share knowledge across the AI community.

Develops and prototypes generative AI systems, including RAG pipelines, knowledge graphs, vector search, and agentic architectures. Integrates AI models with APIs, data sources, and production systems while applying prompt engineering, evaluation, LLMOps, cloud, DevOps, distributed systems, microservices, and REST API practices. Collaborates with clients and multidisciplinary teams in an agile consulting environment, explores emerging AI technologies, and shares knowledge across the internal AI community.

Lead go-to-market and delivery for Google Cloud solutions in Financial Services. Drive business development, shape service propositions, manage senior client relationships, and lead multidisciplinary teams to design and implement cloud, data, and AI solutions.

The Consulting Director leads complex mechanical engineering programs, drives business development, sets strategic direction, and coaches teams, fostering high performance and collaboration.

Advise public sector and banking clients on fraud technology, solution design, data and control delivery. Develop technical requirements, architectures, decisioning and workflows, assess platforms, support implementation, and produce recommendations and business cases to improve prevention, detection and response.