Business Technology Manager – Life Sciences R&D

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Business Technology Manager – Life Sciences R&D

Role Overview

The Business Technology Manager is a senior techno-functional role within ZS's Life Sciences practice, responsible for leading end-to-end delivery of data and technology solutions across Clinical and Regulatory R&D domains. This role combines hands-on technical leadership with client relationship ownership, business development, and team management. The ideal candidate brings deep expertise in pharmaceutical data architecture, cloud platforms, and AI/ML-enabled solutions, paired with the ability to shape strategic engagements, grow accounts, and develop high-performing teams.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery of data strategy, architecture, and platform engagements across R&D, Clinical, and Regulatory domains, ensuring alignment with timelines, quality standards, and business objectives
• Design and implement enterprise data solutions aligned with clinical and regulatory business processes, ensuring compliance with industry standards and guidelines (e.g., GxP, FDA, EMA)
• Provide techno-functional leadership to bridge the gap between clinical/regulatory business requirements and scalable technical implementation
• Design and develop cloud-based solutions leveraging platforms such as AWS, Databricks, and Snowflake, in alignment with enterprise architecture standards for data processing, analytics, and reporting
• Design robust data models for structured and semi-structured datasets, particularly for clinical trial, regulatory submission, and healthcare data
• Design and implement ETL/ELT data pipelines to ingest, transform, and harmonize data from multiple clinical and regulatory source systems
• Architect integration solutions across clinical systems and platforms (e.g., EDC, CTMS, Regulatory Information Management systems, MDM platforms)
• Define and implement data governance frameworks, data quality standards, and regulatory compliance protocols across engagement workstreams
• Identify and apply AI/ML tools and agentic architectures to enhance clinical and regulatory processes, drive innovation, and improve team productivity

Business Development & Account Growth

• Drive business development activities including opportunity identification, proposal development, SOW scoping, and client pitch delivery for R&D technology engagements
• Build and maintain strong client relationships by engaging senior stakeholders, understanding strategic business needs, and positioning ZS as a trusted R&D technology partner
• Contribute to account growth strategy by identifying follow-on engagement opportunities, cross-sell potential, and new capability areas within existing client accounts
• Support thought leadership efforts through point-of-view development, capability showcases, and industry-relevant frameworks for data and AI in life sciences R&D

People Management & Team Development

• Manage, mentor, and develop a team of consultants and analysts across data engineering, architecture, and techno-functional roles
• Drive capability building within the team across cloud data platforms, AI/ML tooling, clinical data standards, and consulting delivery skills
• Lead staffing and resource allocation decisions across concurrent engagements
• Conduct performance reviews, set development goals, and provide ongoing coaching and feedback
• Collaborate across cross-functional teams including data engineers, business analysts, domain experts, and senior leadership to drive data-driven decision making

Stakeholder Management & Communication

• Communicate complex technical and domain concepts effectively to both technical and executive audiences, translating data architecture decisions into business impact narratives
• Lead executive-level presentations, steering committee updates, and governance reviews for active engagements
• Stay updated with the latest trends in clinical data standards, regulatory requirements, AI/ML in R&D, and modern data technologies

Qualifications

Required

• Minimum 10+ years of experience in data management and technology solutions within Clinical and Regulatory domains in life sciences
• Strong understanding of clinical trial processes, regulatory requirements, and data standards (e.g., CDISC, SDTM, ADaM is a plus)
• Proven techno-functional experience with the ability to translate business needs into scalable data solutions and enterprise architecture
• Hands-on experience in Data Engineering with strong exposure to cloud and modern data platforms (AWS, Databricks, Snowflake), including cloud-based data and analytics solutions
• Experience designing and implementing ETL/ELT pipelines and data integration architectures across clinical and regulatory systems
• Good understanding of AI/ML tools and agentic architectures, with the ability to leverage them for solutioning and improving efficiency across R&D workflows
• Strong programming skills in Python; familiarity with data processing frameworks and infrastructure-as-code is preferred
• Experience designing data models and working with both structured and semi-structured data in pharmaceutical contexts
• Deep understanding of data governance, data quality, and regulatory compliance requirements
• Demonstrated experience in business development activities: proposal writing, SOW development, client presentations, and opportunity identification
• Proven track record in people management, team development, and performance coaching
• Strong client-facing experience, and communicate effectively across business and technical teams
• Bachelor's or Master's degree in Life Sciences, Computer Science, Engineering, or a related field

Preferred

• Experience with Master Data Management (MDM) platforms and data product architecture design
• Familiarity with enterprise data governance tools (e.g., Collibra) and data cataloging solutions
• Exposure to clinical systems such as EDC, CTMS, Veeva Vault, or Regulatory Information Management (RIM) systems
• Experience working with global pharmaceutical clients across multiple therapeutic areas
• Prior management consulting experience, preferably in life sciences or healthcare technology

How you’ll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations | Where we work | ZS.                

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working.  A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed.  Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com

Business Technology Manager – Life Sciences R&D

Role Overview

The Business Technology Manager is a senior techno-functional role within ZS's Life Sciences practice, responsible for leading end-to-end delivery of data and technology solutions across Clinical and Regulatory R&D domains. This role combines hands-on technical leadership with client relationship ownership, business development, and team management. The ideal candidate brings deep expertise in pharmaceutical data architecture, cloud platforms, and AI/ML-enabled solutions, paired with the ability to shape strategic engagements, grow accounts, and develop high-performing teams.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery of data strategy, architecture, and platform engagements across R&D, Clinical, and Regulatory domains, ensuring alignment with timelines, quality standards, and business objectives
• Design and implement enterprise data solutions aligned with clinical and regulatory business processes, ensuring compliance with industry standards and guidelines (e.g., GxP, FDA, EMA)
• Provide techno-functional leadership to bridge the gap between clinical/regulatory business requirements and scalable technical implementation
• Design and develop cloud-based solutions leveraging platforms such as AWS, Databricks, and Snowflake, in alignment with enterprise architecture standards for data processing, analytics, and reporting
• Design robust data models for structured and semi-structured datasets, particularly for clinical trial, regulatory submission, and healthcare data
• Design and implement ETL/ELT data pipelines to ingest, transform, and harmonize data from multiple clinical and regulatory source systems
• Architect integration solutions across clinical systems and platforms (e.g., EDC, CTMS, Regulatory Information Management systems, MDM platforms)
• Define and implement data governance frameworks, data quality standards, and regulatory compliance protocols across engagement workstreams
• Identify and apply AI/ML tools and agentic architectures to enhance clinical and regulatory processes, drive innovation, and improve team productivity

Business Development & Account Growth

• Drive business development activities including opportunity identification, proposal development, SOW scoping, and client pitch delivery for R&D technology engagements
• Build and maintain strong client relationships by engaging senior stakeholders, understanding strategic business needs, and positioning ZS as a trusted R&D technology partner
• Contribute to account growth strategy by identifying follow-on engagement opportunities, cross-sell potential, and new capability areas within existing client accounts
• Support thought leadership efforts through point-of-view development, capability showcases, and industry-relevant frameworks for data and AI in life sciences R&D

People Management & Team Development

• Manage, mentor, and develop a team of consultants and analysts across data engineering, architecture, and techno-functional roles
• Drive capability building within the team across cloud data platforms, AI/ML tooling, clinical data standards, and consulting delivery skills
• Lead staffing and resource allocation decisions across concurrent engagements
• Conduct performance reviews, set development goals, and provide ongoing coaching and feedback
• Collaborate across cross-functional teams including data engineers, business analysts, domain experts, and senior leadership to drive data-driven decision making

Stakeholder Management & Communication

• Communicate complex technical and domain concepts effectively to both technical and executive audiences, translating data architecture decisions into business impact narratives
• Lead executive-level presentations, steering committee updates, and governance reviews for active engagements
• Stay updated with the latest trends in clinical data standards, regulatory requirements, AI/ML in R&D, and modern data technologies

Qualifications

Required

• Minimum 10+ years of experience in data management and technology solutions within Clinical and Regulatory domains in life sciences
• Strong understanding of clinical trial processes, regulatory requirements, and data standards (e.g., CDISC, SDTM, ADaM is a plus)
• Proven techno-functional experience with the ability to translate business needs into scalable data solutions and enterprise architecture
• Hands-on experience in Data Engineering with strong exposure to cloud and modern data platforms (AWS, Databricks, Snowflake), including cloud-based data and analytics solutions
• Experience designing and implementing ETL/ELT pipelines and data integration architectures across clinical and regulatory systems
• Good understanding of AI/ML tools and agentic architectures, with the ability to leverage them for solutioning and improving efficiency across R&D workflows
• Strong programming skills in Python; familiarity with data processing frameworks and infrastructure-as-code is preferred
• Experience designing data models and working with both structured and semi-structured data in pharmaceutical contexts
• Deep understanding of data governance, data quality, and regulatory compliance requirements
• Demonstrated experience in business development activities: proposal writing, SOW development, client presentations, and opportunity identification
• Proven track record in people management, team development, and performance coaching
• Strong client-facing experience, and communicate effectively across business and technical teams
• Bachelor's or Master's degree in Life Sciences, Computer Science, Engineering, or a related field

Preferred

• Experience with Master Data Management (MDM) platforms and data product architecture design
• Familiarity with enterprise data governance tools (e.g., Collibra) and data cataloging solutions
• Exposure to clinical systems such as EDC, CTMS, Veeva Vault, or Regulatory Information Management (RIM) systems
• Experience working with global pharmaceutical clients across multiple therapeutic areas
• Prior management consulting experience, preferably in life sciences or healthcare technology

How you’ll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations | Where we work | ZS.                

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working.  A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed.  Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com