Engagement Lead - Pharma and Life Sciences Analytics

• 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.

The Math Company  or Math Co® 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, Math Co builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, Math Co’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At Math Co, 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'.

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.

• 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.

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.

Strong consulting toolkit including:

• Strategic storytelling
• Proven ability to manage relationships with multiple senior stakeholders and influence decision-making.

• 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…