Senior Engagement Manager - Pharma

Sigmoid· Bengaluru, Karnataka, India· greenhouse· offentliggjort 08.06.2026
Skal:DataAISeniorLead

About the Role

The Senior Engagement Manager will play a strategic leadership role within the BCS Pharma Group, driving growth, delivery excellence, and capability building across pharmaceutical and life sciences engagements. This role combines client leadership, solutioning, practice development, and program ownership to help scale the pharma consulting and analytics practice.

The ideal candidate will act as a trusted advisor (beyond expert -only) to clients, lead high-impact engagements, contribute to pre-sales and proposal development, and build reusable assets, solutions, and thought leadership for the organization.

Key Responsibilities

Client Engagement & Delivery Leadership

Lead end-to-end program delivery across multiple pharma accounts and workstreams

Own project planning, delivery governance, execution tracking, and risk management

Define timelines, delivery milestones, resource planning, stakeholder communication plan and change management strategies for delivered solution adoption within Client Org

Manage senior client stakeholders and build long-term relationships

Ensure successful delivery outcomes with high client satisfaction and business impact

Drive program governance, issue resolution, and escalation management

Team Leadership

Manage and mentor engagement managers, analysts, consultants, and cross-functional teams

Drive team performance, accountability, collaboration, and professional development

Foster a high-performance and learning-oriented culture within the pharma group

Pharma Practice & Capability Building

Build and strengthen the pharma industry practice as a SME

Develop reusable solutions, accelerators, frameworks, and best practices for pharma engagements

Create case studies, capability decks, thought leadership content, and internal knowledge assets

Conduct domain trainings and mentor teams on pharma business processes, analytics, and consulting approaches

Support organizational capability building in commercial pharma, patient analytics, market access, engagement planning, and related areas

Contribute proposal development, solution design, effort estimation, and storytelling for client opportunities

Collaborate with cross-functional teams to create tailored solutions for pharma clients

Technical skills

Contribute across AI, Data Science, Analytics, or Data Engineering workstreams based on business and project requirements

Support both delivery execution and pre-sales activities for Analytics and Data Science engagements

Participate in solution design, proposal development, effort estimation, and client discussions for Analytics/DS opportunities

Collaborate with cross-functional teams to develop scalable data, analytics, and technology solutions

Build reusable accelerators, frameworks, and solution assets to strengthen organizational capabilities

Support implementation of enterprise-grade and digital transformation initiatives

Work closely with clients to understand business problems and translate them into data driven solutions

Contribute to capability building, knowledge sharing, and practice development initiatives

Requirements

11+ years of experience in consulting, analytics, pharma commercial operations, or life sciences industry

Strong understanding of pharmaceutical business processes, in atleast one or more Business functions across pharma value chain – R&D, Market Access, Launch Planning & Execution excellence, Value and Pricing, commercial analytics, Customer (HCP) & Consumer (Patient awareness) engagement, patient analytics.

Proven experience managing large-scale client engagements and delivery programs

Experience in proposal creation, solutioning, and client presentations

Strong stakeholder management and executive communication skills

Demonstrated ability to lead cross-functional and distributed teams

Experience working with global pharma clients and senior business stakeholders

Ability to manage multiple priorities in a fast-paced environment

Experience in one or more areas: AI, Data Science, Analytics, Technology Consulting, or Data Engineering

Strong understanding of analytics delivery models, data platforms, and enterprise solutioning

Exposure to proposal creation, pre-sales support, and solution development is preferred for Analytics/DS/AI roles

Must-Have Skills

Pharma industry expertise with strong domain and business understanding of pharma business

Program and project management experience

Proposal writing and pre-sales leadership

Client relationship management

Strategic thinking and problem-solving

Team leadership and mentoring

Excellent communication and presentation skills

Experience creating case studies, trainings, and reusable solution assets

Strong ownership mindset and delivery accountability

AI, Analytics and/or Data Science expertise

Note:

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