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

Educational Qualification: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager

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

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

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

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications.

From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

WHAT’S 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 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.

What you would do in this role

• Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients.
• Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools)
• Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions.
• Lead and manage teams to deliver transformative and innovative client projects.
• Guide teams on analytical and AI methods and approaches
• Manage client relationships to foster trust, deliver value, and build the Accenture brand
• Drive consulting practice innovation and thought leadership in your area of specialization
• Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
• 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.

Relevant experience in the required domain.

Strong analytical, problem-solving, and communication skills.

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

• Proven experience in cross-sell/ up-sell
• 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.
• Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc.
• Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Excellent analytical and problem-solving skills, with a data-driven mindset.
• 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.

Educational Qualification: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Visit us at www.accenture.com

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