Job Description Summary
#LI-RemoteThe ED, Analytics Engineering will collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. We are seeking a visionary and pragmatic leader to build and institutionalize the foundation for analytics at scale. This role will architect the systems, standards, and capabilities that enable high-quality, consistent, and scalable analytics across our organization. By defining frameworks, ensuring rigor, and connecting cross-functional efforts, this leader will make analytics a repeatable, trusted, and efficient enterprise capability.
This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.
Job Description
Key Responsibilities:
Establish and champion analytics rigor, including statistical standards, validation protocols, and QA practices.
Define enterprise-wide frameworks for measurement, performance metrics, and reporting standards.
Enable cross-functional synergy by connecting analytics efforts across Commercial, Medical, Market Access, and other domains.
Institutionalize analytics engineering as a core discipline, including reusability of data pipelines, analytics automation, and production-grade analytics solutions.
Develop scalable capabilities that allow solutions to be transferred across use cases quickly and effectively.
Support governance and compliance, ensuring analytical outputs meet regulatory and ethical standards.
Essential Requirements:
Bachelor's or master’s degree in business administration, Computer Science, Engineering, or a related field.
10+ years of experience in data/analytics, with demonstrated success in building scalable systems or frameworks.
Proven track record of establishing analytics standards, governance, or platform capabilities.
Strong cross-functional experience, ideally within Commercial, Medical, or Market Access analytics in life sciences or a regulated industry.
Experience with analytics engineering, BI tooling, and data infrastructure concepts.
Excellent communication and influence skills, especially with technical and non-technical stakeholders.
Preferred Requirements:
Systems thinker with a deep understanding of how analytics drive decisions across an enterprise.
Builder mindset: enjoys creating structure from ambiguity and scaling impact.
Comfortable balancing strategic design and operational execution.
Deep understanding of data lifecycle, from data ingestion to decision-making impact.
Novartis Compensation Summary:
The salary for this position is expected to range between $236,600 and $439,400 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 [email protected] 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
$236,600.00 - $439,400.00
Skills Desired
Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Insights, Data Analytics, Digital Marketing, Franchise Development, Influencing Skills, Inspirational Leadership, People Management, Product Positioning, Product Roadmap, Sales, Stakeholder Engagement, Stakeholder ManagementNovartis East Hanover, New Jersey, USA Office
East Hanover, United States, 0
Novartis East Orange, New Jersey, USA Office
East Orange, United States
Novartis Florham Park, New Jersey, USA Office
Florham Park, United States
Novartis Jersey City, New Jersey, USA Office
Jersey City, United States
Novartis Morris Plains, New Jersey, USA Office
Morris Plains, United States
Novartis New Brunswick, New Jersey, USA Office
New Brunswick, United States
Novartis New York, New York, USA Office
New York, United States
Novartis Newark, New Jersey, USA Office
Newark, United States
Novartis Parsippany, New Jersey, USA Office
Parsippany, United States, 0
Novartis Paterson, New Jersey, USA Office
Paterson, United States
Novartis Wayne, New Jersey, USA Office
Wayne, United States
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


.png)
