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Director Predictive Analytics Jobs (NOW HIRING)

Audiencex

Sales Director

We are an independent leader at the forefront of ad tech, data science, predictive analytics, and ... The Opportunity As a Sales Director at AUDIENCEX, you'll have the opportunity to join a growth ...

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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
Associate Director- Private Equity Analytics

Associate Director- Private Equity Analytics

CrossCountry Consulting

Charleston, WV • Remote

Full-time

Posted 14 days ago

Be an early applicant

Job description

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.

For CFOs, CIOs, and corporate leaders to cost-effectively achieve strategic growth, real-time data insights, competitive differentiation, and complete compliance, they need a robust digital architecture that maximizes technology investments and process efficiencies. Our data systems specialists design, build, and deploy leading data, analytics, and automation programs that generate rapid ROI across the enterprise.
 
By joining our rapidly growing Data Transformation & Analytics practice you will serve as a trusted partner to our clients. You’ll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored integrated solutions that help our clients solve today's challenges and set the foundation for future success. As a Manager at CrossCountry Consulting you will be responsible for a mix of client delivery, leading teams and developing junior team members, and participating in business development activities.
What You'll Do:
  • Oversee a wide range of Data Transformation & Analytics projects, spanning performance analytics, transaction support, forecasting, and AI-enabled solutions.
  • Bring a diligent mindset to build innovative solutions for clients leveraging data for performance analytics and insights in connection with transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness.
  • Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction level, leading to supportable and auditable performance metrics.
  • Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, CFOs, and corporate development officers.
  • Perform data extraction, transformation, modeling, visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions.
  • Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, analytics, and visualization to drive valuable business and commercial insights.
  • Cultivate new client relationships and deepen existing ones. Guide clients and teams along their analytics journey, aligning with their strategic vision, crafting a practical roadmap, and supporting implementation.
  • Lead data-driven discussions in management meetings, translating complex findings into clear, strategic recommendations for due diligence and transaction models.
  • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.
  • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.
  • Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics.
  • Contribute to the creation of forecasting and predictive analytics models.
  • Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making.
  • Contribute to the continuous improvement of the fast-growing practice.
  • Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues.
  • Play an active role in attracting, interviewing, hiring, and retaining top Talent.
  • Foster business development opportunities by networking within existing clients, participating on proposal teams in securing new client work, and generating leads from a network outside of existing client work.
What You'll Bring:
  • 9+ years of relevant experience involving a combination of financial due diligence for transaction services and data analytics.
  • Extensive ability and proven skills in data processing tools such as Alteryx, PowerQuery, Excel, SQL, Python, and visualization tools such as Power BI, Tableau, Looker, or similar.
  • Strong business acumen and critical thinking skills to draw meaningful insights from robust underlying data.
  • Experience in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail, and/or Professional Services industries, including analytics around ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall.
  • Experience in functional areas like supply chain, operations, and corporate finance.
  • Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value analyses, customer persistency/retention analyses, geospatial analyses, and statistical clustering analyses.
  • Experience in business integrations, divestitures, or carve-outs including experience with quantitative and qualitative analysis.
  • Transactions experience focused on quality of earnings, net working capital, and cash flows.
  • Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation.
  • Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards.
  • A passion for developing and maintaining client relationships. Ability to interact, communicate, and present effectively with internal teams and external clients.
  • Experience mentoring junior team members and assisting project teams in resolving complex and multi-faceted issues.
  • Willingness to travel to client sites when necessary.
Qualifications:
  • Bachelor’s degree in Business, Accounting, Economics, Engineering, Information Systems, Mathematics, or similar discipline.
  • CA / CIMA / CFA / MBA preferred
  • Certification in Databricks / Snowflake / Alteryx / PowerBI / Tableau preferred
  • Willingness to travel based on client preferences.
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Benefits Summary
The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site: https://www.crosscountry-consulting.com/careers/benefits/.

Equal Employment Opportunity (EEO)
CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace. 

As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.