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Executive Data Science Analytics Jobs (NOW HIRING)

Required Skills · Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

Required Skills • Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

VP, Data Science

$235K - $336K/yr

Enterprise BI & Analytics * Own executive dashboards and enterprise reporting from Board-level ... Advanced Data Science * Lead applied data science across personalization, marketplace dynamics ...

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Executive Data Science Analytics information

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$26.5K

$93.6K

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How much do executive data science analytics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for executive data science analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Science Analytics vs Data Scientist?

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

What cities are hiring for Executive Data Science Analytics jobs? Cities with the most Executive Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Executive Data Science Analytics jobs? States with the most job openings for Executive Data Science Analytics jobs include:
Product Manager, Services Data Science & Analytics

Product Manager, Services Data Science & Analytics

Apple

Culver City, CA

$175K - $263K/yr

Full-time

Medical, Dental, Retirement

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Are you ready to make a significant impact on how one of the world's largest analytics organizations sees and interacts with its data? If you are passionate about building intelligent, AI-native data products that turn complex data into clear, trustworthy answers, we would love for you to apply!
The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking - we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.
Description
As a Product Manager on the Data Applications team, you will own products that turn Apple Services data into answers our stakeholders can trust. You will set product direction, partner closely with design and engineering, and be accountable for the quality, reliability, and business impact of what reaches product, business, and executive partners across the organization.
These products are increasingly AI-native. You will shape how people get answers, where intelligent, context-aware experiences understand intent and do more of the work, and where a well-built report or a simpler path serves people better. You will translate complex, often time-sensitive needs from across the organization into products that are clear, reliable, and genuinely useful, without requiring people to be data experts to benefit from them.
","responsibilities":"You will collaborate closely with cross-functional leaders across product, design, engineering, and business teams, bringing clarity to ambiguous problems and keeping the work tied to real outcomes.
Over time, you will help shape how the Services Data Science & Analytics organization thinks about the intersection of data, design, and AI, defining where our products go as our AI capabilities mature and as more of the analytics experience becomes intelligent and self-service.
Preferred Qualifications
Experience building analytics, business intelligence, or visualization products in a data-intensive enterprise environment
Familiarity with AI/ML concepts and experience shaping AI-native product experiences (conversational, agentic, and intelligent assistance are examples, not the whole picture)
Experience with self-service analytics tooling used by non-technical stakeholders
Understanding of data privacy, governance, and regulatory considerations in analytics
Experience in subscription, commerce, or media and app platform data ecosystems
MS in Computer Science, Engineering, Information Systems, or a related field
Minimum Qualifications
8+ years of product management experience, including shipping data, analytics, or platform products
Track record of owning product vision, strategy, and roadmap, and delivering alongside design and engineering
Strong user-centered design instincts, turning research and feedback into clear requirements and intuitive experiences
Experience translating complex stakeholder needs into well-executed products, including for senior and executive audiences
Comfortable with data analysis and using it to make decisions
Solid grasp of the technical concepts behind data products across frontend, backend, and data, enough to partner deeply with engineering
Proven stakeholder management and communication skills across technical and non-technical audiences
BS in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976