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Accenture

Advises businesses and runs their technology

AI and Process Value Consultant

Operations & Supply Chain ConsultingConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • Experience in consulting, process excellence, business transformation, operational improvement, AI-enabled change, or a related field.
  • Experience supporting process analysis, redesign, or transformation work from discovery through implementation.
  • Experience building trusted relationships and working with business, technology, and delivery stakeholders.
  • A practical understanding of generative AI, agents, data, and automation, and how they can reshape business processes and decisions.
  • Ability to understand work end to end, identify root causes, and connect improvement ideas to measurable outcomes.
  • Ability to simplify complex ideas, explain recommendations clearly, and tailor messages for different audiences.
  • Experience helping teams plan, organise, govern, and embed change in complex environments.
  • Confidence working across business, industry, design, data, AI, technology, and delivery teams.
  • Ability to work through ambiguity, test assumptions, analyse evidence, and turn insights into practical next steps.
  • Awareness of AI risk, controls, ethics, privacy, security, and the importance of meaningful human oversight.

Responsibilities

  • Identify and prioritise end-to-end processes where AI, generative AI, agents, or automation can improve growth, experience, productivity, quality, speed, cost, or risk.
  • Assess current processes, pain points, work patterns, data, controls, systems, roles, and performance using interviews, workshops, process analysis, and available evidence.
  • Define the ambition, value drivers, measurable outcomes, and business case for AI-enabled process reinvention.
  • Design future-state processes specifying the roles of people, AI agents, automation, and platforms, including decision points, hand-offs, controls, and human oversight.
  • Shape practical transformation roadmaps connecting process, data, technology, operating model, workforce, change, and Responsible AI requirements.
  • Support rapid proofs of value, pilots, and scaled implementation, helping teams learn quickly while maintaining appropriate governance and controls.
  • Track value after implementation, identify improvement opportunities, and help clients build the capability for continuous reinvention.
  • Conduct research, benchmarking, maturity assessments, process analysis, and root-cause analysis to establish a fact base for change.
  • Facilitate stakeholder interviews, discovery workshops, process walkthroughs, and future-state design sessions.
  • Map current and future processes, customer and employee journeys, decisions, pain points, roles, data needs, controls, and enabling technologies.
  • Assess and prioritise AI use cases based on value, feasibility, data readiness, risk, adoption, and scalability.
  • Develop value trees, benefit hypotheses, business cases, investment profiles, KPI frameworks, and implementation roadmaps.
  • Translate business needs into clear process and solution requirements for AI, data, platform, automation, and engineering teams.
  • Define how AI agents should behave within redesigned processes, including autonomy boundaries, exception handling, human-in-the-loop controls, and performance measures.
  • Develop concise presentations, reports, and recommendations that help senior stakeholders make informed decisions.
  • Support delivery planning, testing, adoption, governance, benefits tracking, and continuous improvement across transformation workstreams.
  • Contribute to proposals, points of view, reusable assets, and the continued growth of the company's AI and process reinvention capability.

Desired Qualifications

  • Experience in process discovery, mapping, simplification, standardisation, Lean, continuous improvement, customer journeys, or service design.
  • Experience with generative AI, agentic workflows, intelligent automation, decision support, human-machine collaboration, or AI use-case prioritisation.
  • Experience with value trees, benchmarking, business cases, benefits definition, investment roadmaps, KPI design, or value tracking.
  • Experience with operating model and workforce change, including roles, decision rights, governance, skills, capacity, ways of working, adoption, or organisational change.
  • Experience with data readiness, enterprise applications, workflow platforms, cloud services, integration, or technology foundations that enable AI at scale.
  • Experience with responsible AI and governance, including risk assessment, model and agent controls, privacy, security, compliance, explainability, monitoring, or human oversight.
  • Experience with transformation delivery, including agile delivery, pilots, implementation planning, stakeholder engagement, change impact, testing, governance, or benefits realisation.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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