Associate Director Marketing Analytics

Harnham; United States; On-site; USD 180,000 - 210,000; Full time

Job summary

A leading global pharmaceutical company is seeking a US Omnichannel Analytics Lead to enhance their marketing analytics capabilities. This role involves developing advanced statistical models and driving personalization strategies for the Oncology business. The ideal candidate will have extensive experience in marketing analytics, particularly in marketing mix modeling, and proficiency in Python. A competitive compensation package, including a base salary and bonuses, is offered.

Benefits

23% target bonus

8% long-term incentive bonus

6% matched 401(k)

Comprehensive healthcare and wellness benefits

Qualifications

• 6+ years of experience in advanced marketing analytics or data science.
• Hands-on expertise in Python for model development.
• Strong communication skills and experience presenting insights.

Responsibilities

• Own and scale in-house marketing mix modeling (MMM) capabilities.
• Design and implement next-best-action and engagement models.
• Analyze complex digital engagement datasets and transform them into actionable insights.

Skills

Python

Marketing Mix Modeling

Data Science

Digital Marketing Data

Personalization Models

Recommender Systems

AI in Healthcare

Job description

Direct message the job poster from Harnham

Recruitment Consultant - Data Science & Analytics @Harnham, NYC | University of Oregon Alum

Global Pharmaceutical Leader – High-Growth Healthcare Company

$180,000 - $210,000 base salary + 23% target bonus + LTIs

The Company:

A globally recognized pharmaceutical organization experiencing unprecedented growth is looking to add an Omni-Channel Analytics Leader. With 14,000 employees worldwide and a strong U.S. presence, they are investing heavily in advanced analytics, AI, and digital transformation to drive innovation in patient engagement and commercial effectiveness.

The Role – US Omnichannel Analytics Lead:

This high-impact individual contributor role will focus on transforming the company’s marketing analytics capabilities. You will lead the development of advanced statistical models that power omnichannel engagement, focusing on in-housing marketing mix modeling (MMM) and building out next-best-action personalization strategies for the U.S. Oncology business units.

Responsibilities:

• Own and scale in-house marketing mix modeling (MMM) capabilities built in Python.
• Design and implement next-best-action and engagement models to drive HCP personalization.
• Work cross-functionally with media agencies and internal digital marketing teams to align on measurement, data integration, and campaign impact.
• Analyze complex digital engagement datasets and transform them into actionable insights.
• Serve as the key analytics expert and consultant to brand stakeholders, aligning modeling output with business strategy.
• Act as a thought partner in the development of AI-driven marketing and digital personalization strategies.
• Present results to senior stakeholders, translating complex methodologies into clear business value.
• Ensure quality and integrity in model development, execution, and implementation across channels.

Your Skills and Experience:

• 6+ years of experience in advanced marketing analytics or data science, ideally with a focus on MMM.
• Hands-on expertise in Python for model development, including statistical and machine learning techniques.
• Proven experience working with digital marketing data and media agencies.
• Strong communication skills and experience presenting insights to senior leadership and cross-functional teams.
• Experience with personalization or recommender systems strongly preferred.
• Pharma experience is a plus but not required if modeling skills are strong.
• Ability to work independently in a fast-paced, stakeholder-heavy environment.

Preferred Experience:

• Experience bringing MMM capabilities in-house.
• Strong grasp of omnichannel measurement frameworks in healthcare or regulated industries.
• Background in building or refining next-best-action frameworks using advanced modeling.

This role offers a highly competitive compensation package including:

• $157,500–$210,000 base salary (flexible for exceptional candidates)
• 23% target bonus
• 8% long-term incentive bonus (vesting over 3 years)
• 6% matched 401(k), increasing to 10% after 12 months
• Comprehensive healthcare and wellness benefits

How to Apply:

If you are an experienced analytics professional looking to lead data-driven transformation at a high-growth pharmaceutical company, please submit your resume to express interest in this opportunity.

Keywords: Marketing Mix Modeling, MMM, Python, Next Best Action, Omnichannel Analytics, Digital Marketing Data, Personalization Models, Recommender Systems, Data Science, Pharma Analytics, AI in Healthcare

Seniority Level: Advanced Individual Contributor

Employment Type: Full-Time

Job Functions: Marketing Analytics, Data Science, Customer Engagement Strategy

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Marketing

• Industries

  Pharmaceutical Manufacturing

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