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Capgemini

Global consulting, technology services, outsourcing

Digital Engineering Managing Consultant/Senior Manager

Technology & Systems ConsultingUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Significant experience in consulting, transformation or a comparable client-facing leadership role within engineering-intensive organisations.
  • Deep knowledge of product development and engineering operations in one or more sectors such as Aerospace & Defence, Automotive, Industrial Manufacturing, Consumer Products, Energy or Life Sciences.
  • Experience designing and implementing engineering transformation, including operating models, process redesign, organisation, governance, capability and technology enablement.
  • Working knowledge of product lifecycle management and model-based systems engineering and their integration with enterprise resource planning, manufacturing execution systems and enterprise data and architecture.
  • Ability to translate emerging engineering technology into credible use cases, scaled adoption and business outcomes.
  • Experience identifying, assessing and scaling high-value artificial intelligence use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation.
  • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security, model risk and human oversight.
  • Proven leadership of complex programmes or workstreams, including mobilisation, governance, change, risk, financial control and benefits realisation.
  • Commercial confidence across opportunity qualification, proposition shaping, proposals, estimation and contracting discussions.
  • Executive-level communication and facilitation, with the judgement to simplify complexity, build consensus and challenge constructively.
  • Collaborative and inclusive team leadership, with evidence of coaching, talent development and leading through influence in a matrix environment.
  • Must obtain Security Check (SC) clearance. Successful applicants must have resided continuously within the United Kingdom for the last five years and meet other clearance criteria and requirements.
  • Must be fully flexible regarding assignment location, as assignments may involve periods away from home at short notice.

Responsibilities

  • Build trusted relationships with senior client leaders, diagnose complex digital and engineering transformation challenges, and create outcome-led business cases for change.
  • Originate and shape opportunities; lead discovery, proposals, solution design, estimation, presentations and commercial discussions.
  • Lead digital engineering strategies, transformation roadmaps and target operating models spanning governance, organisation, capability, process, data and technology.
  • Direct multidisciplinary consulting and delivery teams from mobilisation through implementation and benefits realisation, maintaining quality, pace, risk control and engagement economics.
  • Create digital continuity across the product lifecycle by connecting product lifecycle management, model-based systems engineering, enterprise resource planning, manufacturing execution systems, engineering data and wider enterprise architecture.
  • Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.
  • Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.
  • Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service, IT and business functions.
  • Grow strategic accounts through client insight, relationship development, follow-on opportunities and collaboration across Capgemini.
  • Build market presence through propositions, points of view, campaigns, alliances, events and reusable delivery assets.
  • Create an inclusive, high-performing environment; coach colleagues, develop future leaders and contribute to recruitment and community leadership.
  • Lead or contribute to proposals, requests for proposal, bids, proposition development, client pitch contributions and client hosting at events.
  • Contribute to campaign development, internal think-tanks, whitepapers, practice development, recruitment, team events and activities, and offering development.
  • Pursue training, certifications and other learning to support career development and company skills demand.

Desired Qualifications

  • Experience in regulated, safety-critical or secure environments.
  • Market-facing thought leadership, proposition development or alliance-led go-to-market activity.
  • Evidence of building AI propositions, partnerships or reusable assets and translating AI investment into adoption, productivity, quality, speed and revenue outcomes.
  • Relevant qualifications or certifications in systems engineering, Agile, Lean, programme delivery, product lifecycle management or enterprise architecture.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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