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Vice President Predictive Analytics Jobs (NOW HIRING)

Ryan Companies Inc.

WI · On-site

Senior Vice President of Construction Services** Reports To: **Chief Construction Officer (CCO ... Partner with Data/Insights teams to design dashboards, predictive analytics, and reporting systems ...

Merrimack College Federal Cu

Reporting directly to the Senior Vice President and Chief Financial Officer, the AVP will lead ... Lead responsible use of predictive analytics, generative AI, automation, anomaly detection, and ...

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Vice President Predictive Analytics information

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$43.5K

$157.5K

$277.5K

How much do vice president predictive analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for vice president predictive analytics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a vice president predictive analytics do?

A Vice President of Predictive Analytics leads teams responsible for analyzing large sets of data to forecast future trends and inform business decisions. They oversee the development and implementation of predictive models, ensure data quality, and collaborate with other executives to align analytics strategies with organizational goals. This role requires strong leadership, deep expertise in data science and statistical modeling, and the ability to translate complex analytics into actionable insights for the business.

How does a vice president predictive analytics typically collaborate with other departments to drive business outcomes?

A Vice President of Predictive Analytics works closely with cross-functional teams, such as IT, marketing, operations, and finance, to identify strategic opportunities where data-driven insights can add value. They often lead initiatives to translate complex analytics into actionable business recommendations and ensure alignment with organizational goals. Regular collaboration involves presenting findings to executive leadership, mentoring analytics teams, and fostering a data-driven culture across the company. Effective communication and stakeholder management are crucial to successfully implementing predictive solutions and measuring their impact.

What are the key skills and qualifications needed to thrive as a vice president predictive analytics, and why are they important?

To thrive as a Vice President of Predictive Analytics, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in analytics, typically supported by a relevant graduate degree. Mastery of analytics platforms (such as Python, R, SAS), big data tools (like Hadoop or Spark), and experience with cloud-based analytics solutions are commonly required, along with leadership credentials. Exceptional strategic thinking, communication, and team leadership skills set top candidates apart in guiding cross-functional analytics teams. These skills ensure the ability to drive data-driven decision-making at the executive level and deliver actionable insights that align with business objectives.

What is the difference between Vice President Predictive Analytics vs Data Science Manager?

AspectVice President Predictive AnalyticsData Science Manager
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experience in analytics leadershipBachelor's or Master's in Data Science, Computer Science, or related field; experience in managing data science teams
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical problem-solving
Employer & Industry UsageUsed in large corporations, finance, healthcare, and tech sectorsCommon in tech companies, consulting firms, and large enterprises

The Vice President Predictive Analytics focuses on strategic leadership and high-level decision-making in analytics, while the Data Science Manager oversees daily project execution and team management. Both roles require strong technical backgrounds, but the VP role emphasizes strategic vision and executive collaboration.

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

The most popular types of Predictive Analytics jobs are:

What are popular job titles related to Vice President Predictive Analytics jobs?

For Vice President Predictive Analytics jobs, the most frequently searched job titles are:

Infographic showing various Vice President Predictive Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Brand Executive

Woburn, MA • Hybrid

Azurity Pharmaceuticals - US
See more jobs at Azurity Pharmaceuticals - USexternal

Full-time

Re-posted yesterday

Job description

Job Title: Vice President, Brand Executive
Location: Hybrid - Preference for Woburn, MA (also open to Atlanta, GA or Raleigh, NC; relocation support available)
Schedule: 3 Days In-Office Required
Position Overview:

As Vice President, Brand Executive, you will lead the brand strategy and execution for a portfolio of commercial assets, aligning short-term performance with long-term asset value. You will own brand performance, lead commercial planning and go-to-market strategies, and drive investment and resource allocation decisions across the portfolio (PLM stages 5-8). This role will report into the Chief Commercial Officer and will be instrumental in delivering Azurity's strategic growth objectives.
Key Responsibilities:

Lead development and execution of strategic brand plans across the portfolio.
Build and execute commercial go-to-market strategies informed by 18-month forecasts and investment assumptions.
Own in-year performance, rolling forecasts, and asset-level decisions based on ROI and strategic goals.
Shape long-term commercial direction, balancing franchise investments and coordinating resource allocation.
Partner cross-functionally with FPM, Medical, Sales, Marketing, and Commercial Operations to guide decisions across PLM stage gates.
Integrate S&OP processes and forecasting cycles; utilize predictive analytics to optimize commercial decision-making.
Leverage data to influence strategic investments, brand performance, and future brand development roadmaps.
Guide execution of tactical plans in partnership with cross-functional leads.
Represent commercial interests in governance meetings and decision gate reviews.
Dependencies & Collaboration:

Work closely with cross-functional leaders across:
Field Planning & Management (FPM)
Medical Affairs
Marketing, Sales, Commercial Operations
Government Affairs
Finance & Business Planning
EPMO and data/analytics functions
Execute commercial strategy
Determine in-year plans and resource allocations
Set commercial boundaries for GTN and volume forecasts
Own pricing strategy and guardrails
Lead brand performance management
Skills & Experience Required:

12+ years of progressive commercial experience in the pharmaceutical or biotech industry, including brand leadership and launch planning
Demonstrated success in brand strategy, commercialization, and lifecycle management
Strong financial acumen with proven ability to manage P&L and interpret performance data to drive decision-making
Experience working in cross-functional matrix environments
Skilled in stakeholder management, analytics, and resource prioritization
Strong leadership, influencing, and communication skills
Bachelor's degree in life sciences, marketing, business, or related field (MBA preferred)
Travel Requirement: 

Occasional travel to other Azurity offices and field locations may be required.

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