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Director Predictive Analytics information

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$100.5K

$132.8K

$160K

How much do director predictive analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for director predictive analytics in the United States is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $141,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Predictive Analytics, and why are they important?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What cities are hiring for Director Predictive Analytics jobs? Cities with the most Director Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What states have the most Director Predictive Analytics jobs? States with the most job openings for Director Predictive Analytics jobs include:

Associate Director, Predictive Analytics

Takeda

Kendall Square, MA โ€ข On-site

$64.20K - $64.70K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

We are seeking a hands-on innovative seasoned Data Science professional for the Associate Director, Predictive Analytics position out of our Cambridge, Ma office to lead advanced analytics for Takeda's US GI Franchise. In this strategic, hands-on role, you will drive innovation in predictive modeling, machine learning models, and AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement.

This position requires strong technical expertise, business acumen, and creative strategy to translate sophisticated analytics into actionable business solutions, delivering commercial excellence in areas such as trialist identification, patient segmentation, next-best-action (NBA), target prioritization dynamic targeting, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders.

The professional brings a consultative approach to partnering with stakeholders to identify new business opportunities, develop advanced analytic insights informing strategies, and drive AI/ML & data driven decision making for business growth. You will collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production-ready environments with clear plans to measure effectiveness.

How you will contribute

The Associate Director will be responsible for the following:

  • Advanced Data Science capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations.
  • Advanced Predictive Analytics for US. GI Franchise including new product launches or indications.
  • Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use cases and integrate predictive model-driven decisioning into business decisions.
  • As the Associate Director of Predictive Analytics, you will contribute to Takeda's mission by evolving Data Science solutions that bring increased business value to the US. GI Franchises

Strategic Leadership: Develop and execute a future-oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges

Predictive Modeling & AI Innovation: Design and deploy predictive models-including logistic regression, ensemble methods, and other machine learning algorithms-for key applications such as trialist identification, patient segmentation, next-best-action (NBA), and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events, identify undiagnosed / misdiagnosed patients to drive targeted HCP engagements. Leverage/Create scalable, reusable AI/ML frameworks for learning experimentation and deployment.

Cross-Functional Partnership: Collaborate as a key thought partner with cross-functional teams-including Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs-to drive business impact. Develop creative strategies to ensemble multiple third-party patient data sets, enhancing coverage and precision in patient identification and predictive segmentations.

Team Leadership and Development: Mentor a high-performing team of data scientists by personally pursuing and promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence. Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing.

Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic AI/ML models providing continuous insights into execution optimization, and industry developments.

Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads - leading data science driven discussions and translating business needs into appropriate predictive modeling strategies.

GenAI and Agentic AI Initiatives: Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies.

Vendor & Project Management: Manage relationships with trusted vendor partners for outsourced project work and ensure high-quality, timely deliverables. Oversee project timelines and budgets, utilizing project management tools for tracking progress.

Minimum Requirements/Qualifications:

  • BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience in pharmaceutical industry. Advanced degree (MS/MA in a related field) preferred.5+ years of hands-on experience in AI/ML modeling, with at least 3 years in pharmaceutical commercial analytics.
  • Strong technical expertise in machine learning, NLP, recommendation systems, and personalization use cases.
  • Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP).
  • Experience with pharma data (e.g., IQVIA, Veeva, SP, claims, digital marketing) and strong understanding of compliance and privacy considerations.
  • Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
  • Strong project management skills, with the ability to manage multiple projects simultaneously
  • Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels.
  • Flexibility to adapt to changing business needs and evolving technology landscapes.

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

USA - MA - Cambridge - Kendall Square - 500

U.S. Base Salary Range:

$154,400.00 - $242,550.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsUSA - MA - Cambridge - Kendall Square - 500Worker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.