Associate Director, Data Strategy

vor 10 Stunden


Basel, Schweiz Novartis Vollzeit

Bringing life-changing medicines to millions of people, Novartis sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful including global and local cross functional careers, a diverse learning suite of thousands of programs & an in-house marketplace for rotations & project work. With strong medicines pipeline our current transformation will not just deliver growth for our business but continue to allow us to bring innovative medicines to patients quickly.
- The Data & Analytics organization in IMI is the Novartis engine for achieving best-in-class Healthcare provider (HCP) experience and transformative digital patient engagement. The Customer Experience & Engagement Data & Analytics group seeks a highly motivated leader to enable & scale best-in-class multi-tenant data hub for IMI organization.
- This position reports to the Executive Director, Data Strategy & Governance. The person will be a change agent and evangelize the use of Data Hub capabilities across all IM markets to drive business value and outcomes.**Your responsibilities include, but are not limited to**:

- Responsible for implementing & scaling centralized multi-tenant data-hub to host commercial, patient services, market access, digital & Next generation data & it’s products and services across Novartis IMI countries
- Define, prioritize, harmonize and continuously evolve data hub capabilities by collaboration with both global functions/ teams and countries
- Drive adoption of industry standards and best practices for data hub/ data management in the “Glocal” (Global - Local) market
- Establish high trust in data across the ecosystem by defining end to end process flows, data quality standards and governance models
- Collaborate and Manage relationships with data vendors to provide innovation at scale

**Commitment to Diversity & Inclusion**:

- Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve._

**Minimum requirements**

**What will you bring to the role**
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Analytics, Business or other technical degree. Master’s degree preferred
- Minimum 5 years of professional experience in Pharma and/or life sciences consulting with progressively increasing responsibility
- 2+ years of Experience with working with global teams across multiple geographies
- Minimum 3 years of data management/ data hubs experience with Pharma data
- Proven record of cross-functional partnership with other groups such as IT, analytics, global teams

transformingforgrowth**Why Novartis?**
766 million lives were touched by Novartis medicines in 2021, and while we're
- proud of this, we know there is so much more we could do to help improve and
- extend people's lives.
- We believe new insights, perspectives and ground-breaking solutions can be found
- at the intersection of medical science and digital innovation. That a diverse,
- equitable and inclusive environment inspires new ways of working.
- We believe our potential can thrive and grow in an unbossed culture underpinned
- by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world's
- toughest medical challenges. Because the greatest risk in life, is the risk of never
- trying
- Imagine what you could do here at Novartis**Commitment to Diversity & Inclusion**:
Novartis is committed to building an outstanding, inclusive work environment and diverse
- teams representative of the patients and communities we serve.**Division**
- PHARMA

**Business Unit**
- Division Management

**Country**
- Switzerland

**Work Location**
- Basel

**Company/Legal Entity**
- Novartis Pharma AG

**Functional Area**
- BD&L & Strategic Planning

**Job Type**
- Full Time

**Employment Type**
- Regular

**Shift Work**
- No

**Early Talent**
- No



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