Senior Associate Data Product Owner- Wholesale Lending Services

Commercial Banking delivers extensive industry knowledge, local expertise and dedicated service to more than 24,000 global clients, including corporations, municipalities, financial institutions and not-for-profit organizations along with nearly 35,000 real estate investors / owners.

A Commercial Bank-wide strategic priority is to ensure that we have best-in-class management metrics, analytics, and reporting programs in place to optimize operational performance, enabling continuous improvements in planning, efficiency, service, and control for various operations functions within Commercial Bank.

As a Data Product Owner Senior Associate within the Wholesale Lending Services group, you will engage in active collaboration with diverse stakeholders and functional teams to identify data requirements.

Your role will encompass the design, development, operation model, and implementation of data solutions, along with the continuous management of data quality.

This position will allow you to leverage your superior project management skills and intellectual curiosity in a dynamic, competitive setting.

As a team, we prioritize meticulousness and execution, and we eagerly anticipate your contribution.

Job responsibilities

• Practice strong project management disciplines, including creating plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting
• Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
• Coordinate with business stakeholders, product owners, solution architects, engineers and delivery teams to document use cases, functional specifications, source to target mappings that capture business data and reporting requirements
• Work in Agile environment in partnership with data architecture team to insure data models are built with the right tools, controls, quality, operational processes, and procedures to ensure the consistency and quality of data needs
• Provide oversight of data quality programs, including remediation data quality issues (both proactive and reactive), so that users are confident in the quality of the data
• Devise improvements to current procedures and develop methods for increasing efficiency, accuracy, and performance of data quality solutions
• Conduct Data Discovery & data analysis to provide business insights and stories to various stakeholders

Required qualifications, capabilities and skills

8+ years of industry experience in a data-related field, with demonstrable subject matter expertise in business or product data or processes and understanding of data movement across systems.

Strong working knowledge of concepts and components related to data management and governance, including data architecture, data warehousing, data models, data lineage, data transformations and techniques

• Advanced experience using database querying languages (SQL, HQL, SparkSQL)
• 5+ years of experience in project management with understanding of modern agile software delivery practices such as scrum, experience with setting up and maintaining JIRA boards.
• Strong communication skills and the ability to distill complex concepts to a variety of audiences and levels including to senior management, project contributors, technical and business facing partners.
• Strong organizational and time management skills, and ability to multi-task and manage multiple priorities independently.
• Initiative-taking, energetic, results-oriented, curious and attention to detail. Exhibits a continuous improvement mindset towards all duties.

Preferred qualifications, capabilities and skills

• Domain Knowledge in Corporate Bank Lending, Financial Services Operations
• Experience in Python for writing scripts for ETL tasks and Experience in migrating data workflows on-premises to public cloud (AWS)
• Experience working with various databases (Teradata, Oracle), Snowflake, AWS, data lake querying engines with modern cloud-based data architectures
• Experience with business intelligence and data analytics tools (Alteryx, Tableau, Business Objects, QlikSense)

LI-Hybrid