Data Product Owner
Barclays Bank Delaware seeks Data Product Owner in New York, New York (multiple positions available):
Initiate and manage strong product ownership of data products being deployed in AWS Cloud repositories.
Coordinate with Data technology and business teams in roadmap planning, evaluation of alternatives, and development iteration of Barclays data platform.
Manage the cross-team communication and delivery of several projects by understanding business requirements and customer needs, managing changes, removing roadblocks, and communicating broadly with multiple stakeholders.
Ensure strong business domain data product ownership from key partners across analytics, finance, and other bank partners.
Define and deliver cloud data migration validation and reconciliation approaches for business domain experts to leverage and drive migration delivery, and proactively escalating unresolved issues along with recommended ways forward.
Define and deliver key performance indicators and/or success metrics for goals and features.
Recommend future data features and/or functionalities based on business needs, voice of the customer, and/or new technical capabilities.
Identify, evaluate, and recommend end-user analytical tool sets that enable faster business insights.
Develop business architecture flows that demonstrate current and future state desired capabilities for both analytical data usage and deployment into operational data stores and production models.
Demonstrate strong product management mindset, helping the organization to view data as a product instead of as a project.
May telecommute.
Salary / Rate Minimum/yr: $143,500 per year
Salary / Rate Maximum/yr: $164,400 per year
The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.
This position is eligible for incentives pursuant to Barclays Employee Referral Program.
Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities
Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Assistant Vice President Expectations
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave.
Apply Now
Initiate and manage strong product ownership of data products being deployed in AWS Cloud repositories.
Coordinate with Data technology and business teams in roadmap planning, evaluation of alternatives, and development iteration of Barclays data platform.
Manage the cross-team communication and delivery of several projects by understanding business requirements and customer needs, managing changes, removing roadblocks, and communicating broadly with multiple stakeholders.
Ensure strong business domain data product ownership from key partners across analytics, finance, and other bank partners.
Define and deliver cloud data migration validation and reconciliation approaches for business domain experts to leverage and drive migration delivery, and proactively escalating unresolved issues along with recommended ways forward.
Define and deliver key performance indicators and/or success metrics for goals and features.
Recommend future data features and/or functionalities based on business needs, voice of the customer, and/or new technical capabilities.
Identify, evaluate, and recommend end-user analytical tool sets that enable faster business insights.
Develop business architecture flows that demonstrate current and future state desired capabilities for both analytical data usage and deployment into operational data stores and production models.
Demonstrate strong product management mindset, helping the organization to view data as a product instead of as a project.
May telecommute.
Salary / Rate Minimum/yr: $143,500 per year
Salary / Rate Maximum/yr: $164,400 per year
The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.
This position is eligible for incentives pursuant to Barclays Employee Referral Program.
Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities
Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Assistant Vice President Expectations
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave.
Apply Now