Description
RESPONSIBILITIES
Project Planning and Delivery (Operations):
o Lead the strategic planning and execution of projects within the Decision Sciences vertical.
o Collaborate with cross-functional teams to define project objectives, deliverables, timelines, and resource requirements.
o Ensure effective project management, including scope management, risk assessment, and mitigation strategies.
o Monitor project progress, identify bottlenecks, and implement corrective actions to ensure
timely delivery of high-quality solutions.
Product Development for Commercial/Marketing Analytics:
o Drive the development and enhancement of analytical products and solutions for commercial and marketing analytics.
o Conduct market research and stay updated on industry trends, emerging technologies, and best practices.
o Collaborate with internal stakeholders, including data scientists, software developers, and domain experts, to define product requirements.
o Guide the product development lifecycle, from ideation and prototyping to testing, deployment, and maintenance.
o Design, Develop, and deploy complex and innovative analytical solutions for clients.
Research and Development (R&D):
o Conduct ongoing research on statistical methodologies, data analytics techniques, and
emerging trends in the pharmaceutical analytics domain.
o Evaluate the feasibility and applicability of new statistical models, algorithms, and AI/ML
approaches.
o Collaborate with the R&D team to design and conduct experiments, analyze results, and
propose innovative solutions.
o Translate research findings into actionable insights and contribute to thought leadership through publications, white papers, or conference presentations.
EXPERIENCE REQUIRED:
o 8+ years of experience in analytics or decision sciences, with a focus on the pharmaceutical industry.
o Proven experience in managing and delivering complex projects within the pharma analytics domain.
o Strong expertise in commercial analytics like Market Mix Modelling, AB testing, Campaign
analytics, Investment optimization etc.
o Preferred experience in patient analytics/Access Analytics or Sales Analytics.
o Experience leading and mentoring teams on complex analytical projects.
Technical Skills:
o Advanced knowledge of statistical analysis tools and programming languages such as R,
Python, SAS, SQL, etc.
o Strong understanding of AI/ML techniques and their applications in decision sciences.
Communication and Leadership:
o Excellent communication and interpersonal skills. Ability to effectively collaborate with cross- functional teams and build relationships with clients.
o Strong leadership abilities to guide and mentor team members.
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