Executive Director, Analytics Engineering
Novartis is hiring an Executive Director, Analytics Engineering for a remote role open to applicants in United States. It pays $237k-$439k a year and Level rates it ; you can apply on Novartis.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions analytics engineering, data pipelines and bi tooling among its tools and skills.
- Level classes it as an executive role.
- Novartis has 840 other open roles on Level.
AI in this role
Lead enterprise analytics engineering, establishing scalable data systems, standards, and governance frameworks.
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 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
$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 ManagementHow we rate this
Executive Director, Analytics Engineering at Novartis rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where bi tooling was part of your work. What did you do?
- Tell me about a project where governance was part of your work. What did you do?
- Tell me about a project where statistical standards was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Analytics Engineering, Data Pipelines, BI Tooling, Governance, and Statistical Standards. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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