Job Description

Industry Consultant – Healthcare & Life Sciences1

Job Description: Industry Consultant – Healthcare & Life Sciences

Role Summary

The Industry Consultant – Healthcare & Life Sciences (HLS) gives the Enterprise Consulting unit a credible sector voice across its five domain pillars: Customer Experience (Cx), IT Service Management (ITSM), ERP, Human Capital Management (HCM) and Supply Chain Management (SCM).

This is a senior, client-facing and practice-building role. The person will shape HLS-specific offerings, lead industry conversations with client leadership, and support the unit through sales, presales and partnership alliances. They will also create new consulting services and thought leadership, including AI and agentic solutions for healthcare and life sciences.

The ideal candidate is a consultant first: someone who has worked across more than one technology stack, understands process consulting and process intelligence, and can turn HLS regulation and operating realities into practical transformation roadmaps.

Key Responsibilities

• Industry overlay on the pillars. Translate HLS context (providers, payers, pharma, biotech, medical devices) into points of view, reference architectures, use cases and accelerators for Cx, ITSM, ERP, HCM and SCM.
• Process consulting. Lead current-state assessments, process redesign and operating-model work across HLS value chains, such as patient and member journeys, order-to-cash, procure-to-pay, quality and compliance, and clinical and commercial operations.
• Process intelligence. Use process mining and process intelligence tools to baseline performance, expose friction and compliance deviations, and build the value case for transformation.
• Sales and presales. Qualify HLS opportunities, run executive discovery, build solution narratives, and support proposals, orals and client workshops.
• Partnership alliances. Build joint propositions with technology partners and ecosystem players relevant to HLS, and co-create go-to-market plays with them.
• Thought leadership. Publish points of view and whitepapers, speak at industry forums, and represent the unit in analyst briefings and client events.
• AI and agentic solutions. Define high-value AI and agentic use cases for HLS, with attention to privacy, validation and human oversight.
• New consulting services. Conceive, package and launch new HLS consulting services, from concept and pricing logic to delivery playbooks and consultant enablement.
• Delivery advisory. Act as the domain advisor on live engagements, review deliverables for industry accuracy, and coach consultants across the pillars on HLS context.

Required Qualifications and Experience

• 12–15 years in consulting or industry-plus-consulting roles, with at least 8 years focused on Healthcare and Life Sciences.
• Consulting experience across technology stacks aligned to the pillars (CRM and CX, ITSM, ERP, HCM, SCM), with depth in at least two and working knowledge of the rest. Platforms such as Salesforce, ServiceNow, SAP, Oracle and Workday are typical.
• Domain depth in at least two HLS segments: providers, payers, pharma and biotech, medical devices.
• Proven process consulting skills: process discovery, BPMN modelling, value stream mapping, operating-model design and benchmarking.
• Working knowledge of process intelligence and process mining tools, and experience turning their findings into a business case.
• Track record in sales and presales: shaped and won enterprise deals, and presented to C-suite audiences.
• Familiarity with HLS regulation and standards, such as HIPAA, GxP, FDA 21 CFR Part 11 and GDPR, and how they affect technology and process choices.
• Experience building consulting propositions, partner alliances and published thought leadership.
• Bachelor's degree in engineering, life sciences, pharmacy, healthcare or business.

Preferred Qualifications

• Platform, process or framework certifications, such as Salesforce, ServiceNow or SAP certifications, Lean Six Sigma, ITIL, TOGAF or a process mining tool certification.
• Hands-on familiarity with AI and agentic frameworks, and with responsible AI governance in regulated settings.
• Knowledge of interoperability standards such as HL7 FHIR, and of life sciences commercial and clinical data ecosystems.
• Published articles, conference talks or analyst recognition in HLS or enterprise transformation.
• Experience working with global delivery models and distributed teams.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity