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Director NovaOS Product Owner - 1 of 4

Novartis

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Sponsorship not stated in the posting.

USCIS approved new H-1B petitions (new hires and transfers from other employers) for this employer in the last two published fiscal years. Ask the employer before you apply.

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About the employer

NovartisPosted on the employer’s careers page · novartis.wd3.myworkdayjobs.comH-1B sponsor: 9 approvals in FY2025–FY2026 — employer-level; what this means

Working in United States

Possible country route: H-1B / other employer-petition routes. H-1B normally starts with an employer petition for a qualifying specialty occupation. Cap-subject cases also have registration and selection requirements; other routes differ.

Registration, petition and consular stages differ. Selection is not guaranteed and premium petition processing is not an end-to-end visa timeline.

What to check before applying
  1. Confirm the intended route. Ask whether the employer will petition and whether the position is cap-exempt.
  2. Check petition requirements. Use USCIS instructions for the applicable category and cap process.
  3. Coordinate consular and entry steps. An approved petition and a work-authorised start date are different milestones.
Official immigration guidance ↗

Reviewed 2026-10-14. Country routes are context, not a confirmation that this vacancy or your passport qualifies.

Description (EN)

Job Description Summary

The ideal location for this role is East Hanover, NJ but a distant working arrangement may be possible in certain states. Distant workers are responsible for the cost of home office expenses and periodic travel/lodging will be determined necessary by hiring manager. For associates working on-site, relocation assistance to be within 50 miles of the site may be available. This position will require 10% travel as defined by the business (domestic and or international).


 

Job Description

Reporting to the Executive Director, NovaOS Product Lead, the Director, NovaOS Product Owner is responsible for owning a portfolio of NovaOS capabilities from concept through delivery, adoption, and continuous improvement. The role serves as the bridge between business stakeholders, product management, engineering, UX, and AI teams, ensuring solutions deliver measurable business value while aligning with the enterprise product strategy. 

 

Responsibilities:

• Own the product backlog, roadmap execution, and feature prioritization for assigned NovaOS capabilities. 

• Partner with business stakeholders to define product requirements, user stories, acceptance criteria, and success metrics. 

• Collaborate closely with Engineering, Applied AI, UX, Data Science, and Architecture teams to deliver high-quality AI-enabled products. 

• Drive product discovery, user validation, release planning, and continuous improvement based on customer feedback and analytics. 

• Monitor product adoption, business outcomes, KPIs, and user satisfaction to inform future enhancements. 

• Ensure alignment with enterprise product standards, governance, Responsible AI requirements, and platform architecture. 

• Lead cross-functional product ceremonies and serve as the primary product owner for assigned initiatives. 

Education:

Bachelor's or advanced degree in Business, Computer Science, Engineering, Data Science, or a related discipline. 

Requirements:

• 8+ years of experience in product ownership, product management, business analysis, or digital product delivery. 

• Experience delivering enterprise software, AI-enabled products, or digital transformation initiatives using agile product management practices. 

• Strong stakeholder management, communication, and prioritization skills with the ability to translate business needs into product requirements. 

• Working knowledge of AI, analytics, data platforms, UX principles, and modern software development lifecycles. 

Preferred: 

• Experience supporting enterprise AI platforms, commercial systems, or data-driven products. 

• Experience in pharmaceutical, healthcare, or other highly regulated industries. 

The salary for this position is expected to range between $194,600.00 and $361,400.00 annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.


 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. 


 

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Salary Range

$194,600.00 - $361,400.00


 

Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis
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