BBVA — адамдар мен компаниялардың қаржысын басқару тәсілдерін жаңғыртуға бағытталған жаһандық банк және қаржылық қызметтер тобы. Оның қызметі корпоративтік және инвестициялық банкингті, финтехті және цифрлық банкингті қамтиды. BBVA технологияға негізделген қаржылық шешімдер арқылы 71,5 миллион клиентке қызмет көрсетеді. 121 000-нан астам қызметкері бар BBVA банк ісі, консалтинг және маркетинг салаларындағы тәжірибені инновацияға, цифрлық трансформацияға және кәсіби шеберлікке бағытталған ынтымақтастық ортасында біріктіреді.
Senior Data Scientist Manager at BBVA - Mexico City Hybrid
Senior Data Science Manager at BBVA, leading multi-team analytics programs in a global banking group. Coordinates delivery, governance, risks, dependencies, and talent development.
Сипаттама
- Lead Data Science programs or products spanning two or more teams, aligning objectives, roadmaps, dependencies, risks, and outcomes
- Set and monitor priorities, capacity, staffing, and governance mechanisms to coordinate Quest execution
- Make prioritization, reassignment, and continuation decisions using expected value, available capacity, risk, dependencies, and KPI performance
- Maintain consistent governance controls for program assets and models, including gap identification and remediation
- Manage relationships with sponsors, Product Owners, technology teams, risk owners, and other involved stakeholders
- Develop Managers, Product Owners, and successors through growth plans, mentoring, and documented feedback
- Communicate progress, risks, decisions, and outcomes to stakeholders
- Balance speed, quality, governance, and talent development through transparent, evidence-based decisions
Талаптар
- Experience leading programs, products, or analytics initiatives involving multiple teams or dependencies
- Strong understanding of the Data Science solution lifecycle, from problem definition and evaluation through deployment, monitoring, and governance
- Ability to manage roadmaps, backlogs, capacity, risks, dependencies, and KPI-based outcomes
- Experience with data and model governance, risk controls, and remediation plan tracking
- Working knowledge of Python, SQL, and data-processing technologies such as Spark or PySpark
- Experience developing talent, providing feedback, and building leadership capacity
- Experience working in cloud environments, preferably AWS
- Knowledge of MLOps, analytics platforms, data architecture, or AI/GenAI solution adoption
- Certifications or experience in product management, agile practices, program management, or technology risk
- Experience in regulated, financial, or highly governed environments
- Bachelor's degree in Mathematics, Engineering, Actuarial Science, Computer Science, Data Science, Business Administration, or a related field
- Eight to twelve years of experience in Data Science, analytics, product, or technology
- Demonstrated experience leading a multi-team Quest or multiple delivery contexts
- Experience integrating outcomes, dependencies, risks, and governance controls across at least two consecutive planning cycles
- Demonstrated experience developing Managers, Product Owners, or successors
- Updated CV
Артықшылықтар
- Reasonable accommodations during the selection process
- Collaborative and inclusive work environment
- Commitment to diversity, inclusion, and equal opportunity