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Director Of Data Science Applied Ai Jobs (NOW HIRING)

Associate Director of Data Science

Columbia, MD ยท On-site

$58K - $59K/yr

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission ...

Senior Applied AI Engineer

San Diego, CA ยท On-site

$130K - $171K/yr

You will partner closely with the Director of Data Science & Analytics to design, build, and deploy ... Applied AI Solution Development: Design, build, and deploy production-quality AI-powered tools and ...

... into scalable Applied AI adoption motions. You are: * 7+ years of experience in a highly quantitative data science, product analytics, or growth analytics role, with a degree in Statistics ...

Description Chaos Labs is building a new AI platform for the enterprise, focused on how ... Requirements * 5+ years of experience in Data Science, Applied Machine Learning, or a quantitative ...

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How much do director of data science applied ai jobs pay per year?

As of Sep 12, 2026, the average yearly pay for director of data science applied ai in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Director Of Data Science Applied Ai job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Principal Product Manager, Applied AI & Data Science

California, MO โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees

$123K - $222K/yr

Other

Posted 16 days ago


Job description

Job Requisition ID #

26WD100239

Position Overview

We are seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience (ESE) organization. This team owns and operates the enterprise data foundation that ESE builds on โ€” semantic data models, AI-ready data products, and the agents and automations that reason across that data to drive workforce productivity. This teamโ€™s mandate is to build scalable, reusable products that deliver lasting value.

This Principal PM will bring product discipline to a fast-growing portfolio: clear roadmaps, sharp prioritization, and consistent delivery of measurable, visible outcomes to stakeholders across the company.

Responsibilities
  • Translate strategy into detailed product roadmaps, execution plans, milestones, and measurable outcomes
  • Own roadmap development and prioritization across the enterprise data hub, AI-ready data products, self-service conversational analytics, data-as-a-service capabilities, bring-your-own-data capabilities, semantic data models, and AI value realization initiatives
  • Bring strong fluency in data, analytics, and AI, and apply it to help define dashboards and reporting as data and AI products
  • Make and defend prioritization decisions and communicate those decisions clearly to engineering and stakeholder teams
  • Lead intake, discovery, and backlog refinement across a high volume of stakeholder requests, with a consistent lens on what delivers the most value to the broadest set of users
  • Convert business needs into clear product requirements documents, user stories, acceptance criteria, business value statements, and delivery milestones
  • Partner with engineering, data science, applied AI, architecture, governance, and business stakeholders to ensure roadmap items are clearly scoped, sequenced, and delivered
  • Track roadmap progress, risks, dependencies, blockers, decisions, and stakeholder commitments to maintain delivery alignment
  • Drive adoption and product health measurement, including usage, reuse, data quality, freshness, stakeholder satisfaction, and realized business value
  • Support executive communication through concise roadmap updates, delivery status, trade-off decisions, and business impact summaries
  • Maintain alignment across Airtable, Jira, Wiki, and related planning and documentation systems
  • Shift the teamโ€™s delivery model from reactive, request-by-request execution to a scalable portfolio of reusable, governed AI and data products that Autodesk owns outright
Minimum Qualifications
  • 8+ years of product management experience, including experience owning roadmaps for data, analytics, or AI/ML platform products
  • Strong fluency in data and AI concepts โ€” semantic data models, data pipelines, and machine learning / generative AI applications โ€” sufficient to partner credibly with engineering and data science
  • Proven experience partnering with engineering, data science, architecture, and governance teams to scope and deliver complex, cross-functional initiatives
  • Excellent written and verbal communication skills, including experience presenting roadmaps, trade-offs, and business impact to executive stakeholders
  • Handsโ€‘on experience with product and delivery tooling such as Jira, Airtable, and Confluence/Wiki
  • Bachelor's degree in a related field, or equivalent practical experience
Learn More About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software โ€“ from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk โ€“ itโ€™s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When youโ€™re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodeskโ€™s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $123,900 and $222,129. Offers are based on the candidateโ€™s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

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