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Associate Director Advanced Analytics Jobs (NOW HIRING)

Role OverviewThe Associate Director (AD), Omnichannel Advanced Analytics, is a senior analytics leader responsible for driving insight generation and performance measurement across non-personal ...

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How much do associate director advanced analytics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for associate director advanced analytics in the United States is $118,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What does an associate director of advanced analytics do?

An Associate Director of Advanced Analytics leads teams in analyzing complex data to help organizations make strategic business decisions. They oversee the development and implementation of advanced statistical models, machine learning algorithms, and data-driven strategies. In addition to managing analytics projects, they collaborate with stakeholders to identify opportunities for leveraging data insights, ensure data quality, and help shape the company's analytics vision. This role typically requires a strong background in data science, leadership experience, and an ability to communicate technical findings to non-technical teams.

What are the key skills and qualifications needed to thrive as an associate director of advanced analytics?

To thrive as an Associate Director Advanced Analytics, you need expertise in statistical modeling, data science, and business analytics, often supported by an advanced degree in a quantitative discipline. Proficiency with analytics platforms such as Python, R, SQL, and visualization tools like Tableau or Power BI is essential, along with familiarity with big data systems. Strong leadership, strategic thinking, and communication skills set standout professionals apart by enabling them to translate complex data into actionable business insights. These capabilities are crucial for driving data-driven decision-making and delivering measurable business value.

How does an associate director of advanced analytics typically collaborate with cross-functional teams within an organization?

An Associate Director of Advanced Analytics works closely with cross-functional teams such as marketing, operations, finance, and IT to identify business challenges and develop data-driven solutions. They lead analytics projects, translate complex findings into actionable insights, and ensure alignment with organizational goals. Regular meetings, workshops, and presentations are common, as is the need to foster strong communication to bridge technical and non-technical stakeholders. This collaborative approach not only enhances the impact of analytics initiatives but also builds organizational data literacy.

What is the difference between Associate Director Advanced Analytics vs Data Scientist?

AspectAssociate Director Advanced AnalyticsData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; extensive experience in analytics leadershipBachelor's or Master's in Data Science, Computer Science, Statistics, or related field; strong technical skills
Work EnvironmentLeads analytics teams, collaborates with senior management, oversees projectsDevelops models, analyzes data, reports findings; often works independently or in small teams
Employer & Industry UsageCommon in finance, healthcare, retail, and tech companies for strategic analytics rolesUsed across industries for data analysis, modeling, and insights generation

The Associate Director Advanced Analytics typically holds a leadership role with strategic responsibilities and requires advanced degrees and experience. Data Scientists focus more on technical data analysis and modeling. While both roles require strong analytical skills, the Associate Director often manages teams and projects, whereas Data Scientists primarily execute technical tasks.

What cities are hiring for Associate Director Advanced Analytics jobs?

Cities with the most Associate Director Advanced Analytics job openings:

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What are popular job titles related to Associate Director Advanced Analytics jobs?

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Infographic showing various Associate Director Advanced Analytics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $118,951 per year, or $57.2 per hour.

Associate Director, Omnichannel Advanced Analytics

Bridgewater, NJ • On-site, Remote

Full-time

Re-posted 11 days ago


Key responsibilities

  • Own and evolve the omnichannel analytics roadmap for nonpersonal promotion, including measurement frameworks, KPIs, and performance readouts.

  • Quantify the effectiveness of nonpersonal promotion tactics and assess channel contribution and interaction effects across the customer journey.

  • Design and execute test-and-learn initiatives to evaluate new tactics, content strategies, and orchestration approaches.


Job description

Legend Biotech is seeking an Associate Director, Omnichannel Advanced Analytics as part of the Insights & Analytics team based in Bridgewater, NJ.

Role Overview

The Associate Director (AD), Omnichannel Advanced Analytics, is a senior analytics leader responsible for driving insight generation and performance measurement across nonpersonal promotion (NPP) and omnichannel engagement. This role builds a rigorous, scalable understanding of which digital and nonpersonal tactics work, for whom, and why-enabling datadriven optimization of channel strategy, content, orchestration, and investment across the customer journey.

The AD partners closely with Commercial, Marketing, Field Operations, and IT to translate complex data into actionable insights, influence strategic decisionmaking, and embed advanced analytics into omnichannel planning and execution. This role also provides people leadership and thought leadership within the broader Insights & Analytics organization.

Key Responsibilities

  • Own and evolve the omnichannel analytics roadmap for NPP, including measurement frameworks, KPI definitions, testandlearn approaches, and standardized performance readouts aligned to brand and marketing decision cycles.
  • Establish clear success metrics and accountability for nonpersonal and digital engagement, ensuring consistency across brands, channels, and customer segments.
  • Serve as the subjectmatter expert on omnichannel and NPP measurement, advising senior Commercial and Marketing leaders on performance interpretation and optimization opportunities.
  • Quantify the effectiveness and impact of NPP tactics, including but not limited to email, web journeys, paid media, webinars/virtual programs, reptriggered digital, and other nonpersonal touchpoints.
  • Assess channel contribution and interaction effects across the customer journey, supporting smarter investment allocation and engagement sequencing.
  • Design and execute testandlearn initiatives to evaluate new tactics, content strategies, and orchestration approaches.
  • Develop and operationalize advanced analytic assets that enable smarter, more personalized engagement, including:
    • Customer segmentation and audience prioritization models
    • Response and propensity models (e.g., engagement likelihood, nextbestaction, or nextstep likelihood)
    • Content and channel optimization models (what message works, where, and when)
    • Journey analytics, including pathing analysis, dropoff identification, and sequencing optimization.
  • Translate advanced analytics outputs into clear, actionable recommendations for nontechnical stakeholders.
  • Partner closely with Commercial, Brand Marketing, Digital, Field Operations, and Market Research teams to align analytics priorities with business objectives and omnichannel strategy.
  • Collaborate with IT, Data Engineering, and platform teams to ensure scalable, compliant, and reliable data pipelines, analytic environments, and reporting solutions that support omnichannel use cases.
  • Contribute to the broader Insights & Analytics leadership team by shaping standards, best practices, and longterm capability building in advanced analytics and omnichannel measurement.
  • Lead the development of executiveready performance readouts, insights summaries, and recommendations for senior leadership.
  • The Associate Director will work independently to make decisions related to technical direction, methodologies, approaches on how to address key business questions. Strong collaboration with cross functional teams and robust alignment with Manager will be needed in the identification of Key Business Questions and priorities

Requirements

  • Master's degree (preferred) or bachelor's degree in business, Analytics, Economics, Data Science, or related field; advanced degree preferred.
  • 8-12+ years of experience in pharmaceutical or life sciences analytics, with strong focus on omnichannel, digital, and nonpersonal promotion (NPP) measurement.
  • Demonstrated experience at the Associate Director or equivalent level, owning analytics products, dashboards, or performance frameworks used by senior leadership and commercial teams.
  • Proven expertise in omnichannel and digital engagement analytics, including email, web, media, virtual programs, CRMtriggered digital, and crosschannel orchestration.
  • Strong understanding of omnichannel measurement and optimization approaches, including segmentation, engagement and response modeling, journey analytics, and channel effectiveness assessment.
  • Deep knowledge of commercial pharmaceutical data (sales, claims, CRM, engagement, media, market research) and KPI frameworks.
  • Strong leadership and communication skills, with the ability to translate complex analyses into clear, decisionready insights for executive audiences.
  • Proven crossfunctional collaborator with experience partnering closely with Commercial, Marketing, Digital, Sales Operations, IT, and Data Engineering.
  • Experience enabling AI and advancedanalytics outputs (e.g., segmentation, propensity scores, nextbestaction) through reporting and insight tools, in partnership with Advanced Analytics teams.
  • Demonstrated ability to automate reporting, scale selfservice analytics, and improve speedtoinsight while maintaining data quality and governance.

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