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Director Predictive Analytics Jobs in Massachusetts

Liberty Mutual

Director I, Advanced Analytics

MA · On-site

Description The Auto Physical Damage (APD) Claims Analytics team is seeking an exceptional Director ... Drive the transition from descriptive and diagnostic analytics toward predictive, prescriptive, and ...

Liberty Mutual Insurance

Director I, Advanced Analytics

MA · On-site +1

$106K/yr

Description The Auto Physical Damage (APD) Claims Analytics team is seeking an exceptional Director ... Drive the transition from descriptive and diagnostic analytics toward predictive, prescriptive, and ...

Liberty Mutual

Director I, Advanced Analytics

Boston, MA · On-site

$106K - $211K/yr

Description The Auto Physical Damage (APD) Claims Analytics team is seeking an exceptional Director ... Drive the transition from descriptive and diagnostic analytics toward predictive, prescriptive, and ...

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Director Predictive Analytics information

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 are the key skills and qualifications needed to thrive as a director of predictive analytics?

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 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 are the most commonly searched types of Predictive Analytics jobs in Massachusetts?

The most popular types of Predictive Analytics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Director Predictive Analytics jobs?

Cities in Massachusetts with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Director, Growth Performance Marketing (Hybrid - Webster or Boston)

MAPFRE

Webster, MA • On-site

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Job description

Summary
The Director, Digital Growth Strategy is a strategic, data-driven leader responsible for driving scalable, profitable customer acquisition across paid and targeted digital marketing channels. This role owns end-to-end performance marketing- from channel strategy and media optimization to experimentation, AI-enabled insights, and growth scaling.
You will play a critical role in accelerating growth by combining analytical rigor, creative innovation, and strong leadership capabilities. This position is ideal for someone passionate about leveraging AI to enhance decision-making, personalization, and marketing efficiency within a competitive and regulated insurance environment.
What You'll Do:
Lead Growth Strategy & Execution
  • Develop and execute a comprehensive, data-driven growth marketing strategy aligned with business and revenue goals
  • Identify and prioritize high-impact opportunities to scale profitable growth across acquisition channels
  • Integrate AI-driven insights and predictive analytics to improve targeting and conversion outcomes
  • Own and optimize the full marketing funnel-from awareness through conversion

Own Paid Media & Channel Performance
  • Oversee all paid media channels, including paid search, paid social, display, programmatic, affiliate, and emerging platforms
  • Leverage AI-based tools and automation (e.g., bid optimization, audience modeling, budget allocation) to maximize performance
  • Manage agency partners and/or internal teams, ensuring accountability for results, innovation, and ROI
  • Continuously optimize media spend using data, attribution models, and AI-driven recommendations

Drive Customer Acquisition Optimization
  • Improve key acquisition metrics, including CAC, conversion rates, and LTV/CAC ratio
  • Utilize advanced analytics and AI-powered segmentation to enhance targeting and personalization
  • Partner with Analytics and Product teams to implement enhanced tracking, predictive modeling, and marketing intelligence capabilities

Champion Experimentation & A/B Testing
  • Lead a structured experimentation roadmap across creative, messaging, audience, and landing pages
  • Incorporate AI tools to accelerate testing cycles (e.g., automated creative testing, dynamic content generation, performance prediction)
  • Build scalable frameworks to turn test results into repeatable growth strategies
  • Foster a strong test-and-learn culture supported by data and machine-learning insights

Elevate Creative & Personalization Strategy
  • Partner with creative teams to develop high-performing, data-informed ad creatives
  • Use AI-driven tools to generate, test, and optimize creative assets and messaging at scale
  • Drive cross-channel personalization strategies to improve engagement and conversion

Scale Growth with Profitability Discipline
  • Identify, validate, and scale high-performing campaigns while maintaining profitability targets
  • Apply AI-enabled forecasting and scenario modeling to inform investment decisions and growth planning
  • Balance aggressive growth goals with disciplined financial management and ROI accountability

Lead Teams & Cross-Functional Collaboration
  • Lead, mentor, and develop a high-performing growth marketing team
  • Act as a thought leader in AI adoption, driving best practices and upskilling across the organization
  • Collaborate with Product, IT, Data, Compliance, and Finance teams to implement AI capabilities responsibly
  • Ensure all marketing activities comply with insurance industry regulations

What You'll Bring:
Required Qualifications
  • 7+ years of experience in digital, growth, or performance marketing
  • Proven success scaling customer acquisition through paid media and targeted marketing channels
  • Demonstrated experience leveraging AI, automation, or advanced analytics to improve marketing performance
  • Strong expertise with performance marketing platforms (e.g., Google Ads, Meta, programmatic platforms)
  • Experience designing and executing A/B testing and experimentation frameworks
  • Background in the insurance industry or another highly regulated environment
  • Leadership experience, including team management or strong cross-functional influence

Preferred Qualifications
  • Experience with AI-powered marketing tools (e.g., predictive analytics, generative AI, marketing automation platforms)
  • Familiarity with attribution modeling, customer data platforms (CDPs), and advanced segmentation strategies
  • Exposure to data science concepts or collaboration with machine learning teams
  • Strong understanding of compliance requirements in digital insurance marketing

Why Mapfre?
As a global insurance leader with a strong local presence, we offer more than a job- we provide a purpose-driven career where your growth, well-being, and impact truly matter.
Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.
Comprehensive Benefits: Competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts. To learn more about our benefit offerings please visit:
https://mapfre.gobenefits.net/
Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Salary Range $170,700 - $210,000
If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.
We are proud to be an equal opportunity employer.

Apply