Sr Manager Data Science

Visa; United Arab Emirates; On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a seasoned professional to drive innovation in data analytics within the payments sector. This hybrid role involves collaborating with cross-functional teams to develop cutting-edge machine learning solutions that enhance client decision-making processes. The ideal candidate will possess extensive experience in the payments industry and a strong background in data science. Join a forward-thinking organization where your insights will shape the future of payment solutions and contribute to significant business growth. If you're passionate about leveraging data for impactful results, this opportunity is for you.

Qualifications

• 10+ years of experience in applying ML solutions to business problems.
• Postgraduate degree in relevant fields like Data Science or Statistics.
• Expertise in payments and banking industry.

Responsibilities

• Identify innovation opportunities for data-driven decision-making.
• Collaborate with teams to develop high-quality analytic products.
• Manage relationships with vendors and oversee project budgets.

Skills

Machine Learning

Data Science

Project Management

Data Analytics

Business Intelligence

Statistical Analysis

Education

Postgraduate degree in Statistics

Postgraduate degree in Data Science

Postgraduate degree in Mathematics

Tools

AI-driven tools

Statistical Software

Job description

Principle Responsibilities & Key Results Area

1. Identify innovation opportunities around data and data-related processes to help clients implement fact-based decisioning within their cards and payments programs.
2. Focus on transaction data modeling and analytics for cards and payments products.
3. Collaborate with Business Managers, Consultants, and Data Scientists from Visa and client organizations to co-create, deploy, and benefit from data-driven solutions.
4. Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa's growth.
5. Create scalable frameworks for ML models and introduce cutting-edge tools and techniques for generating business insights.
6. Develop next-generation analytic methods to address business challenges where existing tools are inadequate.
7. Drive commercialization of scalable assets, models, dashboards, and solutions.
8. Partner with internal Technology and Data Engineering teams to leverage Visa's technology platforms and data to support client needs.
9. Share and build global best practices and knowledge within the team.
10. Socialize innovative ideas and scalable approaches with market demand.
11. Ensure compliance with Model Risk Management, Visa Analytics Rules, and Global Privacy standards.
12. Collaborate closely with Data Engineering, Data Science teams, and vendors to meet business stakeholder needs and ensure quality delivery.
13. Engage with Service Line Leads, Portfolio Management, and other teams to identify market opportunities and support go-to-market strategies.
14. Work with Global Practice Leads to incorporate best practices and leverage global solutions.
15. Manage relationships with external vendors and agencies, supervise deliveries, and oversee vendor selection and onboarding.
16. Develop new tools and techniques for future consulting activities in collaboration with teams and external consultants.
17. Manage project budgets and resources efficiently.
18. Coordinate with Visa functional teams (Finance, Audit, Legal, Tax, Sourcing) to optimize vendor engagement and client relationships.
19. This position is hybrid; in-office days to be confirmed by the hiring manager.

Qualifications & Key Competencies

1. Minimum 10 years of experience applying Machine Learning solutions to business problems, with model development and production experience.
2. Postgraduate degree (Masters or PhD) in Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering.
3. Experience in Card Payments markets globally, with responsibilities in payments, retail banking, or merchant industries.
4. Good understanding of Payments and Banking industry, including card verticals (credit, debit, prepaid, small business, commercial, cobranded).
5. Expertise in data, market intelligence, business intelligence, and AI-driven tools and technologies.
6. Proven ability to commercialize analytical solutions.
7. Experience managing large, diverse projects with cross-functional teams, including resource planning and delivery.
8. Strong presentation skills, capable of tailoring data-driven insights to various audiences.
9. Ability to deliver results within scope, timeline, and budget constraints.
10. Excellent people and project management skills.

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