Associate Director, Data Strategy Neuroscience

Job Description Summary

Location:
#LI-Hybrid


Strategy Platforms & Transformation enables improved decision-making at Novartis by leveraging data analytics and insights to drive business growth. Strategy Platforms & Transformation partners closely with the US Commercial organization to bring actionable insights challenge assumptions and enable smarter data-driven decisions. Reporting to the Executive Director Data Strategy the Associate Director Data Strategy will help establish and deliver a comprehensive rare disease data strategy for the US Commercial organization.


This role supports the development and execution of the Strategy Platforms & Transformation rare disease data strategy ensuring data assets data products and ways of working are aligned to broader Novartis objectives. The Associate Director partners with cross-functional stakeholders to translate priority business questions into a prioritized roadmap for data sourcing enrichment and decommissioning and to establish clear governance ownership and success measures. The role enables access to fit-for-purpose data manages dependencies and delivery risks across initiatives and provides transparent progress reporting against agreed milestones.


The ideal location for this role is the East Hanover NJ or Cambridge MA site but a distant working arrangement may be possible in certain states. Distant workers are responsible for the cost of home office expenses and any travel/lodging to the East Hanover or Cambridge site as determined necessary by hiring manager. The position will require travel as defined by the business (domestic and/or international).

Job Description

Key Responsibilities:

• Translate priority rare disease business questions into an integrated data strategy roadmap (sourcing enrichment decommissioning) with clear sequencing dependencies and outcomes.
• Lead cross-functional alignment on data needs definitions and success measures; establish fit-for-purpose data standards and minimum metadata to enable portfolio visibility and reuse.
• Partner with Data Partnerships and Procurement stakeholders to inform vendor evaluations data acquisition approaches and ongoing portfolio optimization (including contract/renewal inputs as applicable).
• Coordinate delivery across Strategy Platforms & Transformation and business teams by managing risks issues and interlocks; drive adoption of agreed ways of working and ensure timely decision-making.
• Provide regular concise updates to senior stakeholders on progress value delivered and trade-offs; recommend course corrections based on data insights and changing business priorities.
• Ensure data strategy activities comply with applicable policies data privacy requirements and relevant regulations.

The ideal candidate brings experience developing and executing data strategies within a pharmaceutical and/or rare disease context with demonstrated ability to translate business questions into prioritized roadmaps spanning data sourcing vendor management portfolio visibility and requirements definition. The role requires strong stakeholder management skills comfort operating in a matrixed environment and the ability to influence without authority. Knowledge of pharmaceutical commercial data and external data vendors is strongly preferred.

Essential Requirements:

• Minimum 5 years of experience in data strategy data management analytics enablement or related roles.
• Working knowledge of data strategy principles frameworks and best practices (e.g. roadmap development governance metadata and data lifecycle management).
• Familiarity with pharmaceutical commercial data vendors and common data domains (e.g. claims prescription provider patient services digital).
• Strong communication and stakeholder management skills with demonstrated ability to influence decisions across functions and levels.
• Demonstrated ability to drive change and adoption of new ways of working in a complex matrixed environment.
• Strong analytical and problem-solving skills including ability to identify delivery risks dependencies and constraints across data initiatives; familiarity with data privacy and compliance considerations is a plus.

Novartis Compensation Summary:

The salary for this position is expected to range between $145600.00 and $ 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 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 or call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$145600.00 - $270400.00

Skills Desired

Agility Cross-Functional Collaboration Customer Engagement Customer Experience Customer Insights Data Analytics Data Strategy Digital Marketing Marketing Strategy Market Research Media Campaigns Product Marketing Stakeholder Engagement Stakeholder Management Team Leadership Waterfall Model