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Manager Predictive Analytics Jobs (NOW HIRING)

... predictive analytics and insights support for the Sales and Marketing organization. The qualified ... Manage the reporting and analytics team whose focus is on the development and presentation of ...

Big Data Analytics Developer

Saint Louis, MO ยท On-site

$51.50 - $66.75/hr

... managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data ...

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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.
More about Manager Predictive Analytics jobs
What cities are hiring for Manager Predictive Analytics jobs? Cities with the most Manager 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 Manager Predictive Analytics jobs? States with the most job openings for Manager Predictive Analytics jobs include:
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.
Director Predictive Data Analytics

Director Predictive Data Analytics

Pacific Life Insurance Company

Omaha, NE โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Pacific Life rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

231st of 261 rated insurance


Job description

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.

We're actively seeking a talented Director of Sales Insights and Analytics to join our CMD Sales Intelligence Team in Newport Beach, CA or Omaha, NE.

As a Director of Sales Insights and Analytics, you'll move Pacific Life, and your career, forward by leading a team providing predictive analytics and insights support for the Sales and Marketing organization. The qualified candidate requires a high level of collaboration across multiple departments working with experienced project teams, sales and executive management, and other business partners.The position will increase the utilization of our existing data and analytic tools and will lead the evolution of future predictive analytic capabilities. This includes evaluating business use case opportunities, while solving for the technical challenges of linking disparate datasets from internal data, market data, competitor data, etc. You will fill a existing role that sits on a team of sales analysts in the CMD division.

How you'll help move us forward:

  • Manage the reporting and analytics team whose focus is on the development and presentation of strategic and tactical analyses with visualization for use cases that support the generation of sales leads.
  • Proven ability to transform an existing business intelligence & reporting team into a data-driven predictive analytics team
  • Deliver Insights: Translate data into insights and deliverables that directly influence Sales & Marketing teams' business decisions.
  • Develop and implement best practices by establishing workflows and reporting/predictive analytical capabilities to meet the demands of external and internal stakeholders.
  • Cultivate relationships to manage customer expectations to deliver the highest level of service in a demanding and ever-changing environment.
  • Ability to present to audiences of various sizes and authority levels.

Ability to collaborate with data scientists and technology management with a fundamental understanding of advanced modeling techniques.
The experience you bring:

  • Bachelor's degree
  • 10+ years of experience building & managing a reporting and predictive analytics team.
  • 7+ years of experience in the life insurance or financial services space.
  • Strong attention to detail, well organized, takes responsibility for actions and projects.
  • Dynamic and inspirational leadership skills
  • Proficient with Microsoft Office applications and familiarity with data visualization and preparation tools such as Tableau and Alteryx.

#LI-TB1

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$184,680.00 - $225,720.00

Your Benefits Start Day 1

Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.


Pacific Life logo

About Pacific Life

Sourced by ZipRecruiter

When you purchase life insurance and retirement solutions, you're buying a promise. A promise that today, tomorrow or ten years from now, we'll be there. For more than 150 years, our clients have trusted Pacific Life to protect what matters most to them - their families, their businesses, their futures.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Newport Beach, CA, US

Year founded

1868

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