Data Owner Lead Banking Payment

Job responsibilities

• Create plans for the development and delivery of product data to support strategic business objectives business operations advanced analytics and metrics and reporting.

• Work with key partners to drive an understanding of the data and its use within the business. Provide subject matter expertise with respect to the content and use of data in the product and associated business area.

• 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

• Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects.

• Document requirements for the accuracy completeness and timeliness of data within the product and coordinate resources to deliver data quality requirements

• Influence resources to resolve identified data issues in a timely manner

• Develop processes and procedures to identify monitor and mitigate data risks for data in the product including risks related to data protection data retention and destruction data storage data use and data quality

• Manage the execution of tasks to comply with Firmwide policies standards and procedures related to the integrity and protection of data in the product

• Develop relationships with product data delivery partners and data consumers including leaders in the Business Technology Analytics Operations Risk and Control functions

• Manage the execution of a set of milestones. Understand and mitigate risks bottlenecks and inefficiencies in the product development lifecycle with respect to data.

• Track and manage workstreams and associated KPIs to ensure deliveries are successful .Manage direct or matrixed staff to execute specific data-related tasks

Required qualifications capabilities and skills:

• 8 years of industry experience in a data-related managing delivery across multiple workstreams with varying timelines

• Subject matter expertise in business or product data or processes

• Technical knowledge of data management and governance big data platforms data engineering/data pipelines or data architecture.

• Demonstrated ability to manage delivery timelines and ensure our product and organization is on track to meet our goals

• Proven ability to execute via internal partnerships

• Proven ability to consult with stakeholders on implementation of data best practices including data modeling governance and ETL

• Work with analytics product and engineering to resolve data quality issues perform root cause analysis and implement solutions to prevent future issues

• Ability to create and present decks to senior leadership to communicate Data Product strategy and to write communications outlining status via Confluence or email

• Ability to articulate complex technical concepts to senior audiences and translate business requirements to technical teams

• Structured thinker with good business acumen

• Good understanding of Agile preferably Scrum and JIRA and in SQL and any database technologies.

Preferred Qualifications capabilities and skills:

• Technical knowledge of Datawarehouse like Snowflake Teradata would be preferred

• Preferably skilled on Cloud technologies like AWS

• Knowledge of payments products or retail banking preferred

• Bachelors degree required and Masters degree preferred.