S&C Global Network - AI - Life Sciences -Data Science Manager
Quick Summary
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Responsibilities
~2 min readProvide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
- →Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
- →Responsibilities may include strategy, implementation, process design, and change management for specific modules.
- →Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client.
- →Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools)
- →Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role).
- →Provide Subject matter expertise in various sub-segments of the LS industry.
- →Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
- →Acquire new skills that have utility across industry groups.
- →Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
- →Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.
- →Execute a transformational change plan aligned with the client’s business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.
- →Make presentations wherever required to a known audience or client on functional aspects of his or her domain.
- An opportunity to work on high-visibility projects with top Pharma clients around the globe.
- Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
- Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
- Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
- Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
- Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
- Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on.
- Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant.
- Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable
- Leverage one’s hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data.
- Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on.
- Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant.
- Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable
- Excellent analytical and problem-solving skills, with a data-driven mindset.
- Proficient in Excel, MS Word, PowerPoint, etc.
- Ability to solve complex business problems and deliver client delight.
- Strong writing skills to build points of view on current industry trends.
- Good Client handling skills; able to demonstrate thought leadership & problem-solving skills.
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
Requirements
~1 min readVisit us at www.accenture.com
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Location & Eligibility
Listing Details
- First seen
- May 31, 2026
- Last seen
- June 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 31, 2026
Signal breakdown
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