Consulting Leader - Pharma/Life Sciences Commercial Analytics

MathCo US•Jersey City, NJ

About The Position

We are seeking a highly experienced Consulting Leader with strong pharmaceutical commercial analytics expertise to partner with leading life sciences clients in solving complex business challenges through data-driven insights and strategic consulting. The ideal candidate will bring a blend of strategy consulting experience, pharmaceutical domain expertise, stakeholder management capabilities, and analytics acumen. This individual 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 is a highly visible client-facing role that requires strong executive communication, problem-solving, and storytelling skills.

Requirements

Strong understanding of pharmaceutical commercial business processes and market dynamics.
Deep expertise in: Brand Analytics, Patient Analytics, Commercial Analytics, Market Performance Analytics, Customer Segmentation and Targeting, Omnichannel and Promotional Effectiveness Analytics, Patient Journey Analytics, 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, 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 in 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, Customer engagement data.
Ability to interpret complex analytical outputs and translate them into executive-level recommendations.
Familiarity with analytics and visualization tools such as SQL, Python, R, Tableau, Power BI, or equivalent is preferred.
Hands-on coding expertise is not mandatory; however, candidates should possess strong analytics interpretation and solution-design capabilities.
Bachelor's degree in Life Sciences, Engineering, Statistics, Economics, Business, Mathematics, Analytics, or 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.

Nice To Haves

Master's degree, MBA, PhD, or equivalent advanced qualification preferred.

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 key strategic questions.
Drive 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.