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Manager Predictive Analytics Jobs (NOW HIRING)

MeridianLink

Predictive Analytics Consultant

$69K - $110K/yr

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for ... Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and ...

NYULMC

Predictive Analytics Analyst

New York, NY · On-site

We have an exciting opportunity to join our team as a Predictive Analytics Analyst. In this role ... management, epidemiology, or other related quantitative skills. 3 or more years of experience in ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

You will work closely with crossfunctional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

You will work closely with cross‑functional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

You will work closely with crossfunctional partners in operations, workforce management, and ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

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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 Jun 20, 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 are the key skills and qualifications needed to thrive as a Manager Predictive Analytics, and why are they important?

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 jobs pay $500,000 a year?

In Canada, high-paying roles such as executive positions (e.g., CEOs, CFOs), specialized medical professionals, and senior corporate leaders can earn $500,000 or more annually. Certain roles in finance, technology, and law with extensive experience, advanced skills, and leadership responsibilities also reach this compensation level, often supplemented by bonuses and stock options.

Is 40 too late for data science?

For a Manager of Predictive Analytics, starting a career in data science at age 40 is feasible, as the field values experience, domain knowledge, and analytical skills. Many professionals transition into data science later in their careers, and acquiring relevant skills through online courses, certifications, and practical projects can facilitate entry regardless of age.

What are the main challenges faced by a Manager of 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.

Is predictive analytics a good career?

Predictive analytics is a strong career choice for professionals interested in data analysis, statistics, and machine learning. It offers opportunities across industries such as finance, healthcare, and marketing, often requiring skills in programming, data modeling, and tools like Python or R. The field is expected to grow as organizations increasingly rely on data-driven decision-making.

How much do analytics managers make in the US?

Analytics managers in the US typically earn between $90,000 and $150,000 annually, with the median salary around $115,000. Compensation varies based on experience, industry, location, and company size, and often includes bonuses and benefits.

What are 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.
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What cities are hiring for Manager Predictive Analytics jobs? Cities with the most Manager Predictive Analytics job openings:
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Manager Predictive Analytics jobs near you
Infographic showing various Manager Predictive Analytics job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, 4% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Senior Manager, Predictive Analytics

Senior Manager, Predictive Analytics

Regeneron Pharmaceuticals, Inc.

Tarrytown, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

13th of 71 rated pharmaceutical

Job description

We are seeking a highly motivated and talented Senior Manager of Predictive Analytics to join the Regeneron Genetics Center (RGC) to pioneer clinical use cases for proteomic and genomic data. In this role, you will develop and apply predictive models on the world's largest integrated datasets of genomics, proteomics, and electronic medical records.
The role involves partnering with cross-functional teams, including Business Development, Laboratory staff, and other scientific groups, to foster collaboration and advance key initiatives. The candidate must have the ability to influence, with strong interpersonal skills. Excellent communication and interpersonal skills are also required as this candidate will be expected to work productively in a collaborative, team working environment.
In this role, a typical day might include the following:
  • Plan, develop, and execute large-scale analyses of proteomic and genomic datasets, with an emphasis on aging and age-related diseases.
  • Develop and implement methods for data harmonization and normalization across distinct cohorts to ensure consistency and reproducibility of results.
  • Evaluate statistical methods for disease risk prediction, and if necessary, develop new methods
  • Turn disease prediction needs from other teams and collaborators into concrete project/budget proposals
  • Stay informed on emerging market trends in disease prediction and applications of genomics data to continuously refine research directions
  • Deliver clear and concise presentations of genomics and proteomic findings to leadership, ensuring alignment with organizational goals and priorities
  • Ability to provide data to internal, external, and non-scientific audience
  • Design, implement, and optimize data pipelines for high-throughput genomic and proteomic workflows, ensuring efficient processing of large-scale proteomic datasets.
  • Develop and integrate robust quality control (QC) measures at multiple stages of analysis pipelines to ensure data accuracy, consistency, and reproducibility.

This role might be for you if you have:
  • Demonstrated expertise in statistics, machine learning and predictive analytics applied to biological data.
  • Demonstrated aptitude for translating research results into products or prototypes
  • Proven ability to independently lead and manage research projects from conception to completion.
  • Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams
  • Demonstrated ability to present data, insights, and recommendations effectively to stakeholders at all levels of the organization

To be considered for this role, we require:
  • A PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related disciplines) and at least five years of experience analyzing large-scale genomics data, or a bachelor's degree with at least 8 years of relevant experience.
  • Candidates with prior industry experience are preferred
  • Experience in exploratory data analysis, applied statistics, or software engineering is preferred in one or more of these domains

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about on-site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$150,500.00 - $245,500.00

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