M&A Consultant - Life Sciences - Germany

Digital Innovation and M&A Transformation Consultant – Life Sciences

Infosys Consulting is seeking talented and highly motivated consultants to join our Life Sciences practice specializing in Mergers, Acquisitions, Divestitures, and Business Transformation.

As a Senior Principal / Associate Partner, you will help pharmaceutical and biotechnology organizations assess and manage the impact of acquisitions, divestitures, carve-outs, spin-offs, and strategic partnerships across business processes, data ecosystems, and enterprise application landscapes.

Responsibilities

• M&A Assessment and Strategic Planning: Assess the impact of acquisitions, divestitures, carve-outs, and business restructurings on operating models, business capabilities, processes, data, and technology landscapes.
• Conduct due diligence, integration assessments, and separation planning activities across Life Sciences functions.
• Define Day 1, TSA, Day 100, and target-state integration or separation strategies.
• Advise executive stakeholders on risks, dependencies, governance models, and value realization opportunities.

• Business, Data and Technology Transformation: Analyze the impact of M&A transactions on clinical, regulatory, safety, quality, and commercial business processes.
• Assess enterprise application portfolios and identify integration, coexistence, rationalization, or separation requirements.
• Evaluate data migration, master data management, governance, reporting, and interoperability challenges.
• Develop future-state architectures supporting business and regulatory objectives.

• Roadmap Development and Execution: Define phased integration and separation roadmaps aligned to business priorities and transaction objectives.
• Establish approaches for application consolidation, data harmonization, process standardization, and organizational alignment.
• Lead cross-functional teams to deliver complex transformation programs and realize transaction synergies.

• AI and Digital Innovation: Assess the impact of M&A activities on AI capabilities, data products, analytics platforms, and digital assets.
• Identify opportunities to leverage AI, GenAI, and Agentic AI to accelerate integration, improve decision making, and automate business processes.
• Establish governance and operating models for integrating AI-enabled capabilities in regulated environments.

• Thought Leadership and Capability Development: Develop methodologies, frameworks, and assets supporting Life Sciences M&A transformation.
• Monitor emerging trends in digital transformation, enterprise architecture, and AI-enabled integration.
• Mentor consulting teams and contribute to capability development across the Life Sciences practice.

Basic Qualifications

• Demonstrates proven success in roles and thorough abilities in most of the following areas:
• Strong understanding of pharmaceutical business processes across Clinical Development, Regulatory Affairs, Safety, Quality, and/or Commercial functions.
• Experience supporting mergers, acquisitions, divestitures, carve-outs, integrations, and large transformation programs.
• Strong understanding of enterprise architecture, application portfolio assessment, and technology operating models.
• Experience evaluating business, data, application, and process impacts of organizational change.
• Understanding of data migration, master data management, governance, interoperability, and reporting architectures.
• Ability to develop integration, separation, and transformation roadmaps across business and technology domains.
• Experience working with senior business and technology stakeholders.
• 12+ years of relevant Life Sciences experience with a minimum of 7 years in a consulting organization.
• Bachelor's degree in Life Sciences, Pharmacy, Engineering, Computer Science, Information Systems, or related field.

Preferred Qualifications

• Experience with M&A due diligence, Day 1 planning, TSA management, post-merger integration, and divestiture initiatives.
• Familiarity with Life Sciences platforms such as Veeva, Medidata, RIMS, CTMS, Safety Systems, ELN, PPM, ERP, and Quality Management solutions.
• Experience developing target operating models and enterprise architecture strategies.
• Knowledge of pharmaceutical data domains including clinical, regulatory, safety, product, and commercial data.
• Experience applying AI, GenAI, or Agentic AI within Life Sciences organizations.
• MBA, MSc, PharmD, PhD, TOGAF, or equivalent advanced qualifications.
• Strong analytical, stakeholder management, and problem-solving skills.