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Manager Predictive Analytics Jobs (NOW HIRING)

Summary The Predictive Analytics Developer is responsible for development and oversight of ... Manage access, permissions, and organization of all Skywise objects such as Code Repositories ...

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for ... You should be comfortable optimizing costs through resource management and scaling strategies while ...

Summary The Predictive Analytics Developer is responsible for development and oversight of ... Manage access, permissions, and organization of all Skywise objects such as Code Repositories ...

Summary The Predictive Analytics Developer is responsible for development and oversight of ... Manage access, permissions, and organization of all Skywise objects such as Code Repositories ...

Summary The Predictive Analytics Developer is responsible for development and oversight of ... Manage access, permissions, and organization of all Skywise objects such as Code Repositories ...

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Manager Predictive Analytics information

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$64.5K

$125.3K

$179K

How much do manager predictive analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for manager predictive analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

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

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

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What cities are hiring for Manager Predictive Analytics jobs?

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Infographic showing various Manager Predictive Analytics job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Senior Data Science Manager, Predictive Analytics & AI - US Commercial

Cambridge, MA • On-site

$142K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of machine learningand AI solutionsthat drive data-driven decision-makingacross the U.S. Commercial organization. This role partners closely with Insights& Analytics, EnterpriseData Management, InformationTechnology, and MedicalAffairs to developpredictive models and analytical solutionsthat generate actionableinsights into patientpopulationsandhealthcareprovider behavior. The successful candidatebrings deep biotech commercial acumen and strongexpertisein machine learning and AI todelivert timely ,innovative solutions thatinformstrategic decisionsand accelerate commercialgrowth.

This is a hybrid role to the Cambridge, MA office which requires an on-site presence3days per week.

Key ResponsibilitiesAI & Data Science Leadership
  • D esign, develop and validat e machine learning and predictive analytics-based solutions supportingU.S. Commercialfunction.
  • Evaluate business and analytical needs to select and implement appropriate statistical , machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.
  • Follow and refine best practicesfor model development, monitoring, governance, and continuous improvement.
Patient and Provider Analytics
  • D evelo p , deployadvanced analytics, machine learning, andAI solutions togenerate actionable insightsinto patient populations, healthcare provider behavior, treatment patterns, anddisease progression.
  • Develop predictive modelsthat support patientidentification, segmentation, treatment initiation,adherence, persistence,and healthcare providerengagement strategies.
  • Integrate and analyzeclaims, electronic healthrecords (EHR), specialtypharmacy, and commercialdata to uncoveropportunities that improvepatient access, providerengagement, and commercialeffectiveness.
  • Partner with Commercial, Medical Affairs, andInsights & Analytics teamsto translate patientand provider insightsinto evidence-basedbusiness strategies.
  • Communicate complex analyticalfindings clearly to leadership andcross‑functional teams.
Leadership and Performance
  • Support a cultureof innovation, collaboration, continuous learning, andtechnical excellence.
  • Manage external vendorsand consulting partners.
  • Operate effectively ina fast‑paced, cross‑functional environment, managing multiple initiativeswhile ensuring timelyand high‑qualityexecution.
Required Qualifications
  • Bachelor's degree with 5+ years of experience, orMaster's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
  • 3 + years of experience supporting U.S. Commercial organizationswithin the pharmaceutical/biotechnologyindustry.
  • Strong programming skillsin PythonandSQL.
  • Experience with Databricks, SnowflakeandPowerBI.
  • Expertisein machinelearning, statistical modeling, predictive analytics,and optimization techniques.
  • Knowledge of commercialpharmaceutical data sourcessuch as IQVIA, Symphony Health, Veeva, Komodo, or claimsand EHR datasets.
  • Excellent communicationand stakeholder managementskills.

Location:Hybrid (U.S.)

Reports To:Director,Predictive Sciences

Travel:Approximately10–20% as needed

Job Level:Management

Additional Information
  • The base compensation range for this role is: $142,000.00-$190,000.00
  • Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills&experience, job location, and internal equity.
  • Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
  • In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well‑being ; including, but not limited to:
    • Medical, Dental, Vision, & Life insurances
    • Fitness& Wellness programs including a fitness reimbursement
    • Short- and Long-Term Disability insurance
    • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec26-Dec31)
    • Up to 12 company paid holidays + 3 paid days off for Personal Significance
    • 80 hours of sick time per calendar year
    • Paid Maternity and Parental Leave benefit
    • 401(k) program participation with company matched contributions
    • Employee stock purchase plan
    • Tuition reimbursement of up to $10,000 per calendar year
    • Employee Resource Groups participation
Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read onto learn more about Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression,sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

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