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.**Your responsibilities include, but are not limited to**:

- Build & lead next-gen Data Capabilities to support Data Acquisition, Data Management, and Launch Excellence with automated governance that can scale for global and local needs
- Enable Robust Data Quality, catalogue & data operations framework that supports diverse needs of each country while templatizing process-aware automation and early detection of issues
- Drive adoption of modern data & analytics enablement using ARDs, MRDs and RRDs by upskilling user communities through rich training, documentation, and iterative improvements
- Integrate and scale AI capabilities to optimize data & analytics operations, governance & adoption for ‘glocal’ (global & local) communities
- Drive execution and adoption of Data & AI Quality standards across IMI markets to ensure that our next-generation capabilities evolve to support future Novartis Innovative Medicine’s objectives
- Partner with Ethics, Legal and Compliance to ensure data integrity, compliance to global regulatory standards and privacy policies across geographies (GDPR, CCPA, POPI, LGPD, etc.)

**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 another technical degree
- Minimum 5 years of professional Experience in Pharma and or life sciences consulting with progressively increasing responsibility
- 2+ years of Experience working with global teams across multiple geographies
- Minimum 3+ years of Data Strategy, Data Governance and/or Data management experience with Pharma data
- Proven record of cross-functional partnership with other groups such as IT, analytics, global teams, and local country partners

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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