Consulting Leader - Pharma/Life Sciences Commercial Analytics
About The Position
We are seeking a highly experienced Consulting Leader with strong pharmaceutical commercial analytics expertise to partner with leading life sciences clients on complex business challenges through data-driven insights and strategic consulting. The role combines strategy consulting, pharmaceutical domain expertise, stakeholder management, and analytics acumen. The successful candidate will serve as a trusted advisor to senior commercial and marketing stakeholders, translating business challenges into analytical frameworks, driving insight generation, and influencing strategic decision-making. This highly visible, client-facing role requires strong executive communication, problem-solving, and storytelling skills. The position leads client engagements focused on pharmaceutical commercial analytics and business performance improvement, while collaborating with data science, analytics, and engineering teams to deliver high-quality solutions. The Consulting Leader also mentors junior colleagues and contributes to capability building, thought leadership, and best practices within the life sciences analytics practice.
Requirements
- Bachelor's degree in Life Sciences, Engineering, Statistics, Economics, Business, Mathematics, Analytics, or a related discipline.
- 10 to 14 years of experience in pharmaceutical consulting, commercial analytics, data science consulting, or related life sciences advisory roles.
- Demonstrated experience leading client-facing engagements and managing executive stakeholder relationships.
- Strong understanding of pharmaceutical commercial business processes and market dynamics.
- Expertise in brand analytics, patient analytics, commercial analytics, market performance analytics, customer segmentation and targeting, omnichannel and promotional effectiveness analytics, patient journey analytics, and launch and lifecycle analytics.
- Ability to connect analytical insights with business impact and strategic recommendations.
- Experience partnering with marketing, brand, and commercial excellence teams.
- Strong consulting toolkit, including problem structuring, executive stakeholder management, strategic storytelling, and client engagement leadership.
- Proven ability to manage relationships with multiple senior stakeholders and influence decision-making.
- Strong understanding of advanced analytics methodologies and their application to pharmaceutical business problems.
- Experience working with pharmaceutical commercial datasets, including prescription and sales data, claims and EMR data, patient-level data, market access and payer data, and customer engagement data.
- Ability to interpret complex analytical outputs and translate them into executive-level recommendations.
Nice To Haves
- Master's degree, MBA, PhD, or equivalent advanced qualification.
- Familiarity with analytics and visualization tools such as SQL, Python, R, Tableau, Power BI, or equivalent.
- Hands-on coding expertise is not mandatory; strong analytics interpretation and solution-design capabilities are relevant.
Responsibilities
- Partner with senior commercial, marketing, and brand stakeholders to understand strategic business objectives and translate them into analytics-driven solutions.
- Lead client engagements focused on pharmaceutical commercial analytics and business performance improvement.
- Structure ambiguous business problems and define analytical approaches to address strategic questions.
- Lead discussions with senior client stakeholders and facilitate solutioning workshops, business reviews, and strategic planning sessions.
- Collaborate with data science, analytics, and engineering teams to ensure high-quality solution delivery.
- Develop compelling insights and business narratives that drive actionable recommendations.
- Present findings and strategic recommendations to executive leadership and cross-functional teams.
- Guide teams in identifying opportunities for advanced analytics, predictive modeling, segmentation, and commercial optimization.
- Mentor junior consultants and analytics team members while fostering a collaborative problem-solving culture.
- Contribute to capability building, thought leadership, and best practices within the life sciences analytics practice.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
