Director, Advanced Analytics and Modeling - Key Drivers & Actions (KDA)
Company websitenovartis.com (Novartis, opens in new tab)
Base salary $194,600 to $361,400
Employer-published annual base salary, USD. Advertised base range in East Hanover, NJ
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationEast Hanover, NJ
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Job Description Summary
#LI-HybridThe ideal location for this role is East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is re-mote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel.
The US Insights & Analytics (I&A) organization engineers the optimal decision environment for the US business by orchestrating, integrating, and synthesizing insights and analytics across therapeutic areas, functions, and the enterprise. Enterprise I&A drives enterprise decision environments through integrated executive analytics and portfolio insights that enable the organization to prioritize investments, track performance, and shape strategic direction.
The Director, Advanced Analytics & Modeling – KDA (Key Drivers & Actions) leads the development and application of advanced analytics that explain the drivers of enterprise business performance and translate those insights into differentiated actions. The role is accountable for identifying the factors that influence growth, adoption, access, customer behavior, market performance, and other strategic outcomes across brands, markets, accounts, customers, and geographies.
Job Description
Key Responsibilities:
- Lead the enterprise Key Drivers & Action Planning analytics capability across launch and in-market priorities.
- Design and oversee advanced analyses that identify the primary factors driving growth, decline, adoption, access, market variation, and performance gaps.
- Develop performance archetypes and opportunity/barrier diagnostics across brands, markets, accounts, customers, and geographies.
- Translate analytical findings into prioritized actions and differentiated playbooks for relevant business functions.
- Ensure Key Drivers analytics addresses enterprise performance broadly and is not limited to field execution.
- Support launch strategy by identifying likely performance drivers, barriers, and market archetypes before and after launch.
- Apply scenario-based analytics to clarify which actions or levers are most likely to improve outcomes.
- Partner with business and analytics stakeholders to connect driver insights with practical decisions and measurable actions.
- Ensure analytical approaches are rigorous, interpretable, scalable, and appropriate to the decision context.
- Develop and mentor analytics talent and contribute to the evolution of enterprise Advanced Analytics capabilities.
Essential Requirements:
- Minimum 8+ years of experience Significant progressive experience in Advanced Analytics, Decision Science, Commercial Analytics, Data Science, or a related quantitative field, preferably in pharmaceutical, biotechnology, healthcare, or similarly complex industry experience
- Advanced degree in a quantitative discipline preferred; equivalent demonstrated expertise and leadership experience considered.
- Demonstrated experience applying advanced analytics to explain business performance and inform action.
- Experience with launch, customer, market, subnational, account, or performance analytics strongly preferred.
- Experience leading complex analytical programs from problem framing through executive recommendation.
- Experience leading or mentoring analytics professionals and influencing senior stakeholders.
Novartis Compensation Summary:
The salary for this position is expected to range between $194.600.00 and $361.400.00 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
$194,600.00 - $361,400.00Skills Desired
Agile Methodology, Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategies, Data Visualization, Deep Learning, Generative AI, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Neuro-Linguistic Programming (NLP), Organizational Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision Planning, VisualizationsSource: Novartis on Workday · View original posting (opens in new tab)
This listingDirector, Advanced Analytics and Modeling - Key Drivers & Actions (KDA)$194,600 to $361,400
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Regional Director, Access & Reimbursement-Cardiovascular -Southeast$194,600 to $361,400
Chart as a table
| Role | Published base |
|---|---|
| Director, Advanced Analytics and Modeling - Key Drivers & Actions (KDA) (this listing) | $194,600 - $361,400 |
| Director, AI Foundations Engineer- Remote | $194,600 - $361,400 |
| Director, AI Foundations Engineering (2 Openings) | $194,600 - $361,400 |
| Director, Agentic Lab | $194,600 - $361,400 |
| Corporate Legal Counsel | $194,600 - $361,400 |
| Director, Advanced Analytics & Modeling Key Drivers Analytics (KDA) and CoE Lead | $194,600 - $361,400 |
| Regional Director, Access & Reimbursement-Cardiovascular -Southeast | $194,600 - $361,400 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: Distant Employee - Distant Working Arrangement (DWA) (USA) • East Hanover (New Jersey)
$194,600.00 - $361,400.00
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
