Head of Data, Analytics & DS&AI, Finance & M&A
Head of Data, Analytics & DS&AI, Finance & M&A
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Job Description
Job Description Summary
Location: Prague Czech Republic; Barcelona Spain #LI-Hybrid (12 days/month in office)Internal job title: Head DDIT F&MA Data Analytics & DS&AI
The role is based in Prague or Barcelona. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.
About the Role:
The Head of Data Analytics & DS&AI Finance & Mergers & Acquisitions (M&A) will join our DD&IT Finance and Mergers & Acquisitions (M&A) team and independently lead Data or Data Science and AI global initiatives F&MA elements of overall Enterprise and Divisional Data or Data Science Strategy to contribute solving unmet medical needs in collaboration with various stakeholders. This role will model a culture of analytical and data driven decision making and data sciences across Novartis leadership in Finance & M&A DDIT as well as related business teams.
It will be responsible to provide the technical expertise and take accountability for significant projects shape future direction for own part of the organization based on the overall organization strategy provided by business and DDIT leadership while empowering the team and providing guidance and coaching.
Job Description
Key Responsibilities:
Lead a Function of experts and teams for DS&AI coach and empower Data professionals and Data Scientists across Novartis.
Develop and execute roadmap for the Finance & M&A team to innovate in all business areas in scope by transforming the way to solve a problem using Effective data management Data Science and Artificial Intelligence.
Strategically coordinate prioritize and efficiently allocate the team resources to critical initiatives: plan resources proactively anticipate and actively manage change set stakeholder expectations as required identify operational risks and enable the team to drives issues to resolution balance multiple priorities and minimizes surprise escalations.
Lead the design development and delivery of various data science based insights outcomes and innovation (using mathematics computer science statistics engineering management science technology economics etc.) and create concepts and solutions to drive faster timely highly precise workable and proactive decision making based on data based insights and science and shape strategic glidepath of the company.
Design develop and deliver various master data data governance data quality initiatives to drive the business priorities scale foundational capabilities to support data science initiatives as well as the data driven decision making.
Acts as a catalyst for innovation in Data management Data Science and AI while contributing to the development of Novartis data management and data science capabilities. Select innovative methods including machine learning deep learning other cognitive computing methods and artificial intelligence; exploratory analytics to identify trends patterns or process drivers.
Support of User Experience Design and development of advanced analytics products -Collaborates with globally dispersed internal stakeholders external partners and Institutions and cross-functional teams to solve critical business problems drive operational efficiencies and innovative approaches.
Proactively evaluate the need of technology and novel scientific software visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences practices
Provide agile consulting guidance and non-standard exploratory analysis for unplanned urgent problem
Essential Requirements:
10 years of relevant experience in Data Science
Extensive experience in Artificial Intelligence (AI) & Machine Learning (ML) with special focus on SAP technologies
Expertise in Finance and M&A processes
Solid people management team leadership & development skills
Proven experience in Business process redesign strategic thinking Data strategy Data Governance & Management Big Data & Cloud Computing Applied Mathematics Statistical Analysis.
Experience in relevant programming language (Python R).
Commitment to Diversity & Inclusion:
We are committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
Why Novartis
Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities join the Novartis Network here: receive (CZ only):
Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program choice of benefits from Benefit Plus Cafeteria in the amount of 13500 CZK per year; Car Allowance; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); MultiSport Card. Find out more about Novartis Business Services: and accommodation:
Novartis is committed to working with and providing reasonable accommodation to all individuals. If because of a medical condition or disability you need a reasonable accommodation for any part of the recruitment process or in order to receive more detailed information about the essential functions of a position please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Applied Mathematics Artificial Intelligence (AI) Aws (Amazon Web Services) Big Data Building Construction Cloud Computing Computer Science Data Governance Data Literacy Data Management Data Quality Data Science Data Strategy Electrical Transformer Machine Learning (Ml) Master Data Management Professional Services Python (Programming Language) R (Programming Language) Random Forest Algorithm Statistical Analysis Time Series AnalysisRequired Experience:
Director
Employment Type
Full-Time
