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Data & Analytics Leader, Global Operations
hace 2 semanas
**Data & Analytics Leader, Global Operations**:
Positions are open to Mexican Citizens and official residents of Mexico.
Location: Guadalajara (hybrid)
Strong English interpersonal skills required
Must submit Resume in English.
**About the AstraZeneca**
AstraZeneca is a global, science-led, patient-focused pharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At Astra Zeneca, we’re dedicated to being a Great Place to work
**Accountabilities**
- Develop and implement data and AI governance policies, procedures, and standards to ensure the quality, integrity, and security of Operations critical data assets
- Collaborate with multi-functional teams to define data, AI, data science and analytics framework and establish data management standard processes
- Collaborate with IT to develop data products to produce actionable insights are readily available
- Drive the adoption of advanced analytics techniques, including machine learning, statistical modeling, and predictive analytics, to solve complex business problems
- Provide leadership and guidance to the data and analytics team within GSC&S, fostering a culture of continuous learning and innovation.
- Stay abreast of industry trends and emerging technologies in data governance, AI, Analytics, and data science, and recommend strategies for adoption
- Collaborate with IT and Data privacy team to ensure compliance with data privacy regulations
- Collaborate with business partners to evangelize Self-service business intelligence and advanced analytics to drive data-driven decision-making.
**Requirements**:
- Bachelor's degree in business administration, Data Science, Informatics, computer science, or statistics
- **Proven 12+ years of work experience in data and analytics**:
- _Hands-on experience with AI, analytics, and data science tools and technologies, such as Python, R, SQL, TensorFlow, scikit-learn, pandas, or similar._
- Significant experience in implementing Data governance practices and solutions to ensure data quality, privacy, and compliance in a relevant industry.
- Solid background in data architecture and data engineering.
- Expertise in statistical analysis, machine learning, and predictive modelling.
- _Proficient in data visualization tools (e.g., Tableau, Power BI)._
- _Hands-on experience working with platforms like MS Azure, Databricks, Cloud and is continually able to stay updated with the latest D&A technology._
- _Proficient Knowledge of some key programming fundamentals in Python, Spark, SQL, or similar languages._
- Superb communication and interpersonal skills, with the ability to influence and collaborate across different levels of the organization
- Demonstrated ability to lead a diverse, distributed team within and across functions. Demonstrated leadership capabilities and AZ values at the appropriate target level.
- Lead and manage negotiations across complex groups to a target outcome.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously
**Desirable**
- Master's or PhD degree.
- Experience in life sciences and healthcare and working across the drug research and development lifecycle.
- Important knowledge of relevant key business processes.
- Network of relevant contacts and relationships, including external links.
- Data Governance and Data Management education and certifications.
- Applied data management and data science skills, including experience with related tools.
**Expectation of working in the office 3 days a week statement**
When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility.
Join us in our outstanding and bold world
