Director, Advanced Analytics and Modeling - Key Drivers & Actions (KDA)

Novartis • Full-time • Remote (East Hanover, New Jersey, United States) • 1d ago

Band

Level 6

Job Description Summary

#LI-Hybrid
The 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 experienceSignificant 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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

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 in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.

https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings

Salary Range

$194,600.00 - $361,400.00

Skills 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, Visualizations