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Accenture

Advises businesses and runs their technology

Industry & Enterprise Life Sciences - Process Excellence

Operations & Supply Chain ConsultingConfirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaIn-person

About the Job

Requirements

  • Relevant Life Sciences industry experience in pharmaceuticals, biotechnology, MedTech or other closely related regulated environments.
  • Working knowledge of at least one domain: Research and Development or laboratories, Quality and Validation, Regulatory Affairs, or Commercial Operations.
  • Hands-on experience in business process analysis, current-state assessment, future-state process design, workflow optimization, and process documentation.
  • Understanding of regulated Life Sciences environments and GxP principles, including documentation discipline, traceability, risk-based controls, approvals, and validation considerations.
  • Ability to translate business processes into structured requirements, user stories, business rules, control points, key performance indicators, and implementation-ready process designs.
  • Experience facilitating workshops and engaging cross-functional stakeholders across business, quality, technology, data, and operations.
  • Strong analytical thinking, problem-solving, stakeholder management, communication, and presentation skills.
  • Understanding of how data, analytics, automation, and artificial intelligence can improve business processes, with an appreciation of appropriate human oversight and governance.
  • Ability to work effectively in a fast-paced consulting environment and collaborate with multicultural, regional, and global teams.
  • Typically 3–6 years of relevant experience in Life Sciences operations, consulting, process excellence, digital transformation, quality, validation, data, or technology-enabled transformation.

Responsibilities

  • Plan and conduct process discovery through stakeholder interviews, workshops, document reviews, data analysis, and current-state process mapping across Life Sciences value chains.
  • Evaluate end-to-end workflows, business handoffs, roles, systems, controls, exceptions, and operational challenges.
  • Develop future-state process designs, operating model recommendations, and implementation roadmaps.
  • Apply process excellence methodologies such as Lean, Six Sigma, value stream mapping, root-cause analysis, standard work, and key performance indicator development to improve quality, productivity, cycle time, compliance, and user experience.
  • Support transformation initiatives across Research and Development, digital laboratories, Quality and Validation, Regulatory Affairs, and Commercial Operations.
  • Apply a strong quality mindset and documentation discipline when supporting regulated or GxP-related environments.
  • Ensure process documentation incorporates clear requirements, traceability, controls, approvals, and supporting evidence.
  • Collaborate with Quality, Regulatory, Validation, IT, and business stakeholders to ensure process designs align with relevant policies, risk controls, and validation requirements.
  • Support the development of process governance frameworks, decision-making structures, performance measures, and continuous improvement practices.
  • Identify opportunities to simplify, digitize, and automate business processes through workflow platforms, process mining, Robotic Process Automation, analytics, Generative AI, and agentic solutions.
  • Translate business and process requirements into structured documentation, user journeys, process blueprints, acceptance criteria, and business rules.
  • Assess data availability, quality, lineage, and traceability requirements across clinical, laboratory, quality, regulatory, and commercial processes.
  • Support the development of prototypes, proof of concepts, and business cases to demonstrate measurable business value.
  • Work with technology and engineering teams to ensure proposed solutions consider scalability, security, regulatory compliance, and operational readiness.
  • Identify appropriate human oversight and control mechanisms when implementing AI-enabled solutions.
  • Facilitate client workshops and stakeholder engagement sessions, consolidate findings, and communicate recommendations through professional presentations and working documents.
  • Develop performance baselines, key performance indicators, benefit hypotheses, and business cases to measure transformation outcomes.
  • Monitor improvement opportunities across cycle-time reduction, right-first-time performance, productivity, adoption, and control effectiveness.
  • Contribute to proposal development, solution design, effort estimation, and delivery planning for Life Sciences transformation opportunities.
  • Develop reusable process blueprints, assessment tools, validation templates, onboarding guides, operational playbooks, and other consulting assets.
  • Collaborate with local, regional, and global teams to support delivery excellence and contribute to the growth of the Life Sciences consulting capability in Kuala Lumpur.

Desired Qualifications

  • Exposure to Life Sciences platforms and technology ecosystems such as Veeva Vault or PromoMats, IQVIA solutions, Salesforce Health Cloud, Laboratory Information Management Systems, Electronic Lab Notebooks, and Quality Management Systems.
  • Experience in digital laboratories, laboratory automation, instrument connectivity, lab informatics, data standardization, or connected-lab architecture.
  • Familiarity with process mining and process modelling tools such as Celonis, SAP Signavio, ARIS, Microsoft Visio, or BPMN-based tools.
  • Experience with workflow automation or Robotic Process Automation platforms such as Microsoft Power Automate, UiPath, or Automation Anywhere.
  • Exposure to Generative AI and Large Language Model-based solutions, including use-case development, prompt engineering, Retrieval-Augmented Generation, agentic workflows, and responsible AI practices.
  • Experience supporting change management, impact assessments, user adoption, training, operating model design, or continuous improvement initiatives.
  • Lean Six Sigma Green Belt certification or equivalent process improvement qualifications.
  • Relevant certifications in Life Sciences, quality, validation, digital platforms, data, or AI.
  • Previous consulting or professional services experience, including client-facing delivery, proposal development, and project planning.
  • A postgraduate qualification in a relevant scientific, engineering, digital, or business discipline.

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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