Grow Data & AI Business in North America by modernizing and cloudifying client data ecosystems and monetization.
Requirements
- 20+ years of experience in data architecture and management.
- Expertise in Snowflake, Databricks, Informatica, and Collibra.
- Proficient in cloud platforms (AWS, Azure, GCP).
- Strong understanding of data modeling, data warehousing, and business intelligence.
- Experience with data governance, quality, and compliance.
- Familiarity with DevOps practices and Agile methodologies.
- Strong programming skills in languages such as Python, SQL, and Java.
Responsibilities
- Develop and maintain a comprehensive data management strategy, aligning with business objectives.
- Design and implement scalable, secure, and efficient data architectures on cloud and on-prem platforms.
- Lead the evaluation, selection, and integration of data management tools and technologies.
- Define data governance policies, procedures, and standards.
- Develop and maintain data models, data warehousing, and business intelligence solutions.
- Ensure data security, compliance, and risk management.
- Provide technical guidance and mentorship to junior team members.
Other
- Thought leadership
- Lead the portfolio partnering with clients
- Grow & Maintain Data & AI portfolio for the client portfolios.
- Single point of escalation for Data & AI in the client portfolios.
- Collaborate with cross-functional teams to ensure data quality, integrity, and compliance.
- Domain Experience: Banking
- Excellent communication and interpersonal skills.
- Strong leadership and mentoring abilities.
- Collaborative and team-oriented mindset.
- Analytical and problem-solving skills.
- Ability to work in a fast-paced environment.
