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Consulting Leader - Pharma​/Life Sciences

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: TheMathCompany Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
  • Math Co US
  • US
Posted On 14 Oct 2026

End Date 30 Nov 2026

Required Experience 10 - 18 years

Organisational

Country US

State Maryland

Skills Skill

Pharma - Commercial Analytics

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 & Analytics Expertise

  • 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
  • Market access and payer 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.

Role

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.
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