Role - Engagement Lead - Pharma and Life Sciences Analytics
Key success factors for this role
- Proven experience in Analytics Consulting and client advisory roles.
- Experience managing offshore and cross-functional teams.
- Ability to engage and influence senior client stakeholders.
- Strong business development mindset with a track record of identifying and pursuing growth opportunities.
- Passion for leveraging AI and advanced analytics to solve business problems.
About Us
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).
At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'.
Job Description
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.
Your responsibilities will include:
- 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.
Skills Required
Pharmaceutical Commercial Analytics
Strong understanding of pharmaceutical commercial business processes and market dynamics.
Deep expertise in:
- Brand Analytics
- Commercial Analytics
- Market Performance Analytics
- Customer Segmentation and Targeting
- Omnichannel and Promotional Effectiveness 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.
Consulting Experience
Strong consulting toolkit including:
- Strategic storytelling
- Proven ability to manage relationships with multiple senior stakeholders and influence decision-making.
Technical Expertise
- Experience with AI and Generative AI solutions.
- Strong analytical and problem-solving capabilities.
- Proficiency in SQL and Python.
- Experience with data visualization tools such as Power BI or Tableau.
- Understanding of machine learning and advanced analytics methodologies.
- Familiarity with cloud-based AI and analytics platforms is preferred.
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.
Role
- Engagement Lead - Pharma and Life Sciences Analytics
Education / Qualification
- Bachelor's degree in Life Sciences, Engineering, Statistics, Economics, Business, Mathematics, Analytics, or related discipline.
- Master's degree, MBA, PhD, or equivalent advanced qualification preferred.
- 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.