Data Delivery and AI Solutions Specialist - GXS Bank

This role is critical for coordinating the rollout of data products, managing AI projects, and translating business requirements into actionable data solutions.

Key Responsibilities:

• Be the owner of the Data Product Roadmap and Implementation. Coordinate with the Product team on the rollout of products that require data products.
• Work independently and/or in a team to solve complex problem statements.
• Collaborate with various stakeholders on AI and data science projects to ensure alignment and successful delivery.
• Maintain close relationships with Data Engineering and Data Management teams to plan and execute the roadmap of data products for the Bank.
• Translate business requirements into data terminology and vice versa to ensure clear communication and understanding.
• Provide technical expertise and guidance in SQL and Python, as well as data analytics, data science, and AI methodologies.
• Prioritize tasks effectively to meet deadlines and deliver high-quality results.
• Stay current with industry trends and emerging technologies to continuously improve skills and team knowledge.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of professional experience in the data field.
• Proficiency in coding with SQL, Python and Cloud Technologies (AWS in particular).
• Possess a sound understanding of requirements for end-to-end data flows that will enable product and business outcomes.
• Solid understanding of Machine Learning Operations and Model Development Lifecycle.
• Strong understanding of various data analytics, data science, and AI methodologies.
• Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong prioritization and organizational skills.
• Ability to work effectively in a collaborative, fast-paced environment.

Preferred Qualifications:

• Master's degree in Computer Science, Data Science, or a related field.
• Experience in the banking or financial services industry.
• Knowledge of data management and data engineering principles.
• Experience with cloud-based data platforms and tools.