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S&C Global Network - AI - Life Sciences -Data Science Manager

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Onsite

S&C Global Network - AI - Life Sciences -Data Science Manager

Accenture

S&C Global Network - AI - Life Sciences -Data Science Manager

Skills

SQL QueriesTableauData ScienceRDesign ThinkingData AnalysisAIBusiness DevelopmentChange ManagementMarket ResearchPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

24 August 2026

What they need


About The Role  

Job Title -

S&C Global Network - AI - Healthcare Analytics - Manager

Management Level:

7-Manager

Location:

Bangalore/Gurgaon

**Must-have skills:**R,Phython,SQL,Spark,Tableau ,Power BI

**Good to have skills:**Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job****Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

WHATS IN IT FOR YOU?

  • 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 everythingfrom 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.

Professional & Technical****Skills:- - Relevant experience in the required domain.

  • Strong analytical, problem-solving, and communication skills.

  • Ability to work in a fast-paced, dynamic environment.

What you would do in this role

  • 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 clients 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.

Who are we looking for?

  • 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 ones 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.

Additional Information:

  • Opportunity to work on innovative projects.

  • Career growth and leadership exposure.

About Our Company | Accenture

Qualification 

Experience:

8-12 Years

Educational Qualification:

Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

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