I&P GN - I&E - Life Science Commercial Consultant - Process Excellence-PE

Accenture; Navi Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Consultant for AI Transformation Advisory in Life Sciences Commercial to identify opportunities and shape AI-ready processes for CRM, field sales, HCP engagement, patient services and omnichannel marketing.

You will run client workshops and capability assessments to deliver measurable value across commercial functions. 3–7 years of relevant experience and familiarity with AI-enabled platforms are expected.

Qualifications

• 3–7 years of experience in Life Sciences or consulting.
• Experience implementing AI in CRM, marketing or patient services.
• Workshop facilitation and capability assessments in Life Sciences.

Responsibilities

• Identify AI opportunities across Life Sciences commercial functions.
• Design AI-ready processes and shape solutions for CRM, field sales, patient services and omnichannel marketing.
• Lead client workshops and capability assessments.
• Support governance and value realization for AI initiatives.

Skills

AI Transformation

Life Sciences Domain

Client Workshop Facilitation

Data & AI Governance

Tools

Salesforce Life Sciences Cloud

Veeva CRM

IQVIA OCE

Salesforce Marketing Cloud

Adobe Experience Cloud

Job description

Practice: Accenture S&C- GN- Industry & Enterprise
Capability: Life Sciences – Commercial (Product Management, CRM, Patient Services, Sales & Marketing)Career Level: Consultant
Experience: 3-7 yrs

WHAT WE ARE LOOKING FOR:

• AI Transformation Advisory: AI opportunity identification and qualification across Life Sciences commercial functions; AI-ready process design and solution shaping for CRM, field sales, HCP engagement, patient services & care management, omnichannel & marketing functions; experience running client workshops and capability assessments in Life Sciences context
• Life Sciences Commercial Domain Expertise (AI fluent): Working knowledge and hands‑on experience with implementing AI across one or more Life Sciences commercial sub-functions:
  • CRM & Customer Engagement (field force optimization, intelligent call planning and execution, HCP/HCO master data and alignment, dynamic territory and account planning, closed-loop marketing, regulatory & compliance, key account management)
  • Patient Services (AI-enabled patient onboarding, hub services optimization, streamlined financial assistance (BV, PA, Copay etc.), specialty pharmacy coordination, case management and care coordination, contact center operations, adherence and nurse educator programs)
  • Sales & Marketing (omnichannel orchestration, next‑best‑action, segmentation and targeting, campaign and content operations, field enablement and launch readiness, incentive compensation, brand and campaign analytics, medical information and inquiry management)
• Process Excellence + AI (Commercial): Process reinvention and design, embedding AI across process discovery & assessment, business process modelling, process mapping, intelligent automation, value realization, and AI governance
• Platform Transformation: Working knowledge across key commercial Life sciences platforms including, Salesforce Life Sciences Cloud, Agentforce, Health Cloud, Data 360 (formerly Data Cloud); Veeva CRM and Vault CRM, Vault Patient CRM and Vault PromoMats; IQVIA OCE; Salesforce Marketing Cloud, Adobe Experience Cloud etc.
• AI Value Architecture (Commercial): Value discovery and benefit quantification for AI initiatives in commercial contexts including business case development and benefit measurement plans, with understanding of commercial cost drivers, promotional ROI, and compliance risk dimensions
• Life Sciences Commercial Data & AI: Data readiness and quality assessment for AI across commercial data types (HCP/HCO master data; Rx, claims and sales data from IQVIA, Symphony Health and Komodo Health; specialty distribution (867/852) and hub data; consent and channel preference; CRM interaction and call history; content, campaign and patient support case data); understanding of customer and patient 360, master data and identity resolution, interoperability, and knowledge grounding for AI; identifiers, standards and privacy requirements (NPI, DEA, product identifiers, HL7 FHIR, de‑identification and tokenization); data product concepts and AI adoption support in regulated, consent‑ and privacy‑governed environments
• Agentic Enterprise (Commercial): Identification and scoping of agentic AI opportunities and working across agent workflow mapping and orchestration design for multi‑step commercial processes, including agent roles, tools, knowledge grounding, human approval and escalation paths, evaluation, monitoring and auditability; human‑in‑the‑loop design with sensitivity to promotional compliance, adverse event and product complaint capture obligations; knowledge of agentic frameworks and platforms (e.g. Salesforce Agentforce, Copilot Studio, LangChain, AWS Bedrock Agents)
• AI Delivery & Responsible AI (Commercial): Experience taking at least one AI, GenAI or agentic AI use case through discovery, design, prototype or pilot, testing, rollout or production; working knowledge of prompt and knowledge design, retrieval‑augmented generation (RAG), tool and API integration, and model and agent evaluation; application of Responsible AI controls – security, privacy, bias, hallucination and guardrail design, traceability and human oversight – in a regulated commercial environment

GOOD TO HAVE EXPERINCE:

• AI prototyping with GenAI and agent builders
• Process Mining (Celonis/Signavio/Soroco)
• RPA (UiPath/Automation Anywhere)
• Low‑Code/No‑Code development tools (Copilot Studio, Salesforce Flow, N8N, etc.)
• SQL and Python basics
• Data visualization and storytelling (Tableau / Power BI / CRM Analytics)
• Understanding of SDLC, Agile delivery, business analysis, product ownership, testing and UAT, and release planning
• Hands‑on configuration or delivery experience on the platforms listed above, plus incentive compensation tools (ZS Javelin, Varicent, Anaplan) and patient hub platforms (CareMetx, Mercalis, AssistRx) etc.
• Content supply chain and MLR review operations, or commercial analytics solutions
• AI and Agentic AI certifications such as Salesforce Agentforce Specialist, Salesforce Certified AI Associate, Salesforce Life Sciences Cloud Accredited Professional, Veeva CRM certification, or equivalent cloud AI certifications (Microsoft Azure AI, AWS, Google Cloud)
• Prior consulting or in‑industry operating experience in pharmaceutical, biotechnology, medtech or healthcare organizations, across commercial operations, sales force effectiveness, patient services / hub operations, or brand marketing

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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