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Director Predictive Analytics Jobs (NOW HIRING)

BeiGene, Inc.

Associate Director, Brand Analytics

... other predictive or prescriptive analytics to inform business decisions. * Develop and deliver ... direct people management is required unless otherwise determined by business need. Education ...

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Director Predictive Analytics information

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$100.5K

$132.8K

$160K

How much do director predictive analytics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for director predictive analytics in the United States is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $141,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Director of Predictive Analytics or similar data science roles, starting a career at 40 is feasible, especially with relevant skills in statistics, programming, and experience in analytics tools. Many professionals transition into data science later in their careers, and employers value diverse experience and domain knowledge. Continuous learning and certifications can enhance prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Director of Predictive Analytics, and why are they important?

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 is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, data strategy, and leadership, along with extensive experience and relevant certifications.

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 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 does a director of analytics make?

A director of analytics typically earns a salary ranging from $100,000 to $180,000 annually, depending on experience, industry, and location. They often oversee teams, develop predictive models, and utilize tools like SQL, Python, or R to inform strategic decisions.

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.

Is predictive analytics a good career?

Predictive analytics is a strong career choice for those interested in data-driven decision making, as it involves analyzing large datasets to forecast future trends. The role of a predictive analytics professional typically requires skills in statistics, programming, and tools like Python or R, and offers opportunities across various industries such as finance, healthcare, and marketing.
What cities are hiring for Director Predictive Analytics jobs? Cities with the most Director 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 Director Predictive Analytics jobs? States with the most job openings for Director Predictive Analytics jobs include:
Director Predictive Analytics jobs near you
Director, Enterprise Risk & Regulatory Analytics, Marlborough, MA, Hillsboro, OR, Hybrid

Director, Enterprise Risk & Regulatory Analytics, Marlborough, MA, Hillsboro, OR, Hybrid

Digital Federal Credit Union

Chelmsford, MA • On-site

Full-time

Posted 23 days ago

Digital Federal Credit Union rating

8.4

Company rating: 8.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Schedule

Mon - Fri: 8 AM - 5 PM (40 Hours)

What You’ll Do

Job Summary: 

The Director of Enterprise Risk & Regulatory Analytics leads the delivery of data and analytics capabilities that enable enterprise risk management, regulatory compliance, and risk-informed decision-making through trusted, governed single source of truth data and actionable insights. The role partners closely with the Chief Risk Officer (CRO) organization and provides thought leadership at the intersection of business and technology to enable scalable analytics that support regulatory compliance needs, continuous risk monitoring, and proactive decision-making with actionable insights. Through a federated analytics model, this role enables the CRO organization to leverage governed enterprise data, tools, and analytics assets while maintaining consistency and trust in key metrics and insights. 

Essential Functions: 

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.  

  • Partner with the CRO organization to design and deliver data and analytics capabilities supporting Enterprise Risk Management (ERM), regulatory compliance (e.g., NCUA), and internal audit and exam readiness by enabling trusted insights and strategic decision-making. 
  • Partner with the Business Analysts and Data Stewards from the CRO organization to support a federated analytics model that enables business to leverage governed enterprise risk data and analytics assets to deliver consistent and scalable insights. 
  • Ensure governed and trusted data across key risk domains that includes credit risk (loan portfolios, delinquencies, charge-offs), interest rate and liquidity risk, operational and fraud risk, and cybersecurity risk, enabling consistent interpretation of high-quality risk metrics and enterprise-wide trust in risk analytics. 
  • Develop advanced analytics capabilities (e.g., predictive analytics) supporting regulatory reporting and board risk reporting packages, early-warning risk detection, capital stress testing, forecasting, and scenario modeling to strengthen enterprise risk management and resilience. 
  • Lead the development of enterprise dashboards that provide standardized metrics and actionable insights related to risk and regulatory functions (CRO Lens), enabling anytime, anywhere decision support for leadership. 
  • Partner with the CRO organization to implement enterprise data and AI governance policies, ensuring alignment with risk and compliance controls, audit readiness, and regulatory reporting requirements. 
  • Partner with Compliance, Finance, and Internal Audit to ensure analytics align with regulatory expectations and audit controls. 
  • Coordinate with enterprise data and analytics teams to ensure alignment with architecture, governance, and data standards. 
  • Enable risk stakeholders to effectively leverage analytics tools and insights for day-to-day monitoring and strategic risk decisions. 
  • Lead, mentor, and develop analytics professionals while fostering a culture focused on collaboration, trusted data, reusable capabilities, and measurable business outcomes. 

What You’ll Need

 Education & Experience:  

  • Required Education: Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree), advanced degree preferred. 
  • Required Experience: 8+ years of relevant experience, 4+ years as a People Leader. 

Qualifications & Skills:  

  • 10+ years of experience in risk analytics, regulatory analytics, or enterprise data analytics within financial services or regulated industries. 
  • Deep knowledge of enterprise risk management disciplines (credit, operational, cyber, financial risk). 
  • Demonstrated experience delivering risk and regulatory analytics solutions that support executive decision-making and operational oversight. 
  • Experience with regulatory reporting, stress testing, and scenario modeling. 
  • Experience developing predictive analytics, forecasting models, stress testing frameworks, or scenario modeling in support of risk management. 
  • Strong background in data governance, data quality, and data management with risk lens.  
  • Experience implementing data governance frameworks, including data quality monitoring, lineage tracking, access controls, and standardized metric definitions. 
  • Deep experience delivering enterprise dashboards and actionable insights using modern business intelligence platforms. 
  • Strong knowledge of modern BI and analytics tools (e.g., Power BI, Tableau, Looker, ThoughtSpot). 
  • Experience working with enterprise data platforms and cloud-based analytics environments (e.g., Snowflake, Databricks, AWS, Azure, or GCP). 
  • Familiarity with AI-enabled analytics and predictive modeling techniques used in risk detection, performance optimization, and strategic decision support. 
  • Ability to translate complex analytical findings into clear, actionable insights for executive leadership and business stakeholders. 
  • Strong executive communication and cross-functional stakeholder management skills, with the ability to influence across Risk, Product, and Technology organizations. 
  • Proven ability to build and lead high-performing analytics teams within complex enterprise environments. 

What We Do

DCU is the largest credit union headquartered in New England – serving more than one million members in all 50 states. With over 1,700 team members, we strive to make DCU a great place to work with an excellent work-life balance, and a community that cares.

DCU is an equal opportunity employer, and we value diversity, inclusion, and equity at our company. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. 

If you’re applying for a job and need a reasonable accommodation for any part of the employment process, please send an email to careers@dcu.org and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.

DCU is not currently offering Visa transfer/ sponsorship for this position.

Expected Pay Range

$164,000 - $199,000

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