AI Decision Science Manager - Life Sciences at Accenture

Entity: Accenture Strategy & Consulting

Team: Strategy & Consulting – Global Network

Practice: Life Sciences

Title: Industry & Functional AI Decision Science Manager

Job Location: Delhi, Gurgaon, Mumbai, Bangalore

About Strategy & Consulting Global Network

The Accenture Strategy & Consulting Global Network focuses on helping our clients grow their businesses using data and AI. Our practice emphasizes leveraging analytics to generate actionable insights that drive better decision-making and enhance customer relationships. From strategy development to execution, we assist organizations in evolving their analytic capabilities, including data access, reporting, and predictive modeling, to outperform their competition.

What's in It for You?

Join us to work on high-visibility projects with leading pharmaceutical clients globally. Collaborate with industry leaders, enterprise function practitioners, and business intelligence professionals to shape innovative solutions that leverage emerging technologies. Embrace responsible business practices throughout your work and enjoy personalized training modules designed to enhance your strategy and consulting skills, industry knowledge, and capabilities. Thrive in an inclusive culture committed to fostering equality for all and engage in collaborative projects across the organization.

Responsibilities

• Lead small to medium-sized teams in delivering consulting projects for global clients.
• Handle strategy, implementation, process design, and change management for specific modules.
• Manage daily team operations, providing guidance and support to team members for effective solution delivery to clients.
• Participate in client discussions, develop new industry Points of View (PoVs), and reusable tools.
• Translate complex analytical findings into clear reports and presentations for diverse stakeholders, including clinicians, executives, and patients.
• Offer subject matter expertise in various sub-segments of the Life Sciences industry.
• Create assets and methodologies, as well as point-of-view papers and research reports for team and community use.
• Acquire new skills relevant across industry groups.
• Support strategies and operating models focused on specific business units and evaluate competitive responses.
• Co-lead proposals and business development efforts, coordinating with colleagues to create consensus-driven deliverables.
• Implement transformational change plans aligned with client business strategies, engaging stakeholders in the change journey.
• Deliver presentations on functional aspects of your domain as needed to known audiences or clients.

Who We Are Looking For

• Hold a Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field.
• Possess 10+ years of proven experience in Life Sciences/Pharma/Healthcare projects, delivering successful outcomes.
• Have an excellent understanding of pharma data sets, including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR).
• Bring hands-on experience with real-world evidence data, R&D clinical data, and digital marketing data.
• Experience with datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP.
• Skilled in building and deploying statistical models and machine learning algorithms, such as segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Proficient in programming languages like R, Python, SQL, Spark.
• Adept in working with large data sets and presenting findings and insights to key stakeholders.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
• Familiarity with data visualization tools like Tableau, Power BI, Qlikview, Spotfire is a plus.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Competent in Excel, MS Word, PowerPoint.
• Ability to solve complex business problems and deliver exceptional client satisfaction.
• Strong writing skills to create points of view on current industry trends.
• Excellent client handling skills, demonstrating thought leadership and problem-solving capabilities.

Equal Opportunity Employer

Accenture is an equal opportunities employer. We welcome applications from all sections of society and do not discriminate based on race, religion, belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other protected characteristic as defined by law