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Manager Predictive Analytics Jobs in New York (NOW HIRING)

DraftKings

Director, People Analytics

New York, NY

Strong understanding of People Analytics, predictive analytics, AI-enabled analytics, and organizational decision support. * Exceptional communication, storytelling, and stakeholder management skills.

Ra

Customer Analytics Senior Manager

New York, NY · On-site

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytic Manager

Florham Park, NJ

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

New Providence, NJ

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

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Manager Predictive Analytics information

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.

What are the most commonly searched types of Predictive Analytics jobs in New York?

The most popular types of Predictive Analytics jobs in New York are:

What are popular job titles related to Manager Predictive Analytics jobs in New York?

For Manager Predictive Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Manager Predictive Analytics jobs in New York look for?

The top searched job categories for Manager Predictive Analytics jobs in New York are:

What cities in New York are hiring for Manager Predictive Analytics jobs?

Cities in New York with the most Manager Predictive Analytics job openings:

Manager Predictive Analytics jobs near you
Infographic showing various Manager Predictive Analytics job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Product Manager, Predictive Analytics

Tarrytown, NY • On-site

Regeneron
Biotechnology Research and Development • 5 - 10K employees
Learn more about Regeneronexternal

$133K - $176K/yr

Full-time

Re-posted 16 days ago

Regeneron rating

8.6

Company rating: 8.6 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Regeneron is seeking a highly motivated and skilled Senior Product Manager to join the Regeneron Genetics Center (RGC) to pioneer clinical use cases for proteomic and genomic data. The role involves developing products based on large integrated datasets and collaborating with cross-functional teams to advance key initiatives.
Responsibilities:
• Mock up products based on proteomic, electronic medical record, and/or genomic datasets
• Draft specifications for software to display disease risk predictions, use AI tools to implement the specifications, and evaluate the results
• Turn disease prediction ideas 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 product directions
• Deliver clear and concise presentations of genomics and proteomic use cases to leadership, ensuring alignment with organizational goals and priorities
• Assist in the design of clinical validation programs for products
• Leader partner and customer discussions to test hypotheses about the value of new products, and summarize this feedback to leadership
Qualifications:
Required:
• A bachelor's degree in a relevant field (software engineering, computational biology, etc.) with at least 13+ years of relevant industry experience (or a PhD and +7 years of experience as an equivalent)
• Demonstrated expertise in software engineering or product design
• Proven skills for translating scientific results into product prototypes
• Proven track record to independently lead and run research projects from conception to completion
• Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams
• Proven ability to present data, insights, and recommendations effectively to stakeholders at all levels of the organization
Preferred:
• Candidates with prior industry experience are preferred
• Experience in software engineering or product design is preferred
Company:
Regeneron Pharmaceuticals specializes in the discovery, development, and commercialization of innovative medicines. Founded in 1988, the company is headquartered in Tarrytown, USA, with a team of 10001+ employees. The company is currently Late Stage.

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