Data & Analytics Leader, Global Operations (Guadalajara)

Data & Analytics Leader, Integral 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.

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 cross‑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 that 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.
• Expectation: work in office at least three days per week.

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 modeling.
• Proficient in data visualization tools (Tableau, Power BI).
• Hands‑on experience working with platforms like MS Azure, Databricks, Cloud, and staying updated with latest D&A technology.
• Proficient knowledge of key programming fundamentals in Python, Spark, SQL, or similar languages.
• Superb communication and interpersonal skills, with 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 Qualifications

• 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.