Search Jobs | Dice.com

Job Details

Skills

Data Acquisition
Data Architecture
Data Analysis
Amazon Web Services
Data Cleansing
Data Governance
Data Integrity
Data Quality
Banking
JIRA
Machine Learning (ML)
Python
SQL
PySpark
Pandas

Summary

< class="XzFqK ILxcde">Responsibilities

Deliver strategic data initiatives within a large multinational bank, including cloud migration, data platform modernization, and enterprise-wide data transformation programs
Define and execute product maps for data assets that support critical financial, regulatory, operational, and analytical use cases
Design curated, reusable, and governed data products on Partnerships Card portfolios
Use Agile methodology to deliver high impact-data solutions by serving as the primary bridge between business stakeholders and engineering teams gathering requirements, translating complex business requirements and technical limitations into actionable product features, and delivering scalable data solutions
Leverage data strategy expertise to unlock business value across key domains, including Card Partnerships, Loans, Consumer Banking, and Credit Data
Identify strategic opportunities to use data as an asset, influence roadmap decisions, and translate analytical insights into actionable outcomes that drive customer experience, revenue growth, and operational efficiency
Shape the design of data products using Partnerships Card expertise
Architect and implement cloud-native data architecture knowledge to support the migration of legacy, on-premises data storage systems to AWS, using cloud tools (e.g., S3, Glue, and Redshift)
Embed data governance, lineage, metadata, and quality standards into every stage of the delivery lifecycle
Drive alignment with the bank’s enterprise data strategy by shaping initiatives around digital transformation, data monetization and modernization ensuring they integrate seamlessly with the broader business architecture and comply with evolving regulatory frameworks
Develop advanced data validation and quality assurance processes across TSYS data systems using SQL, Python, and PySpark
Ensure data integrity, consistency, and reliability across multiple downstream banking platforms by proactively identifying anomalies, resolving data quality issues, and maintaining trust in critical datasets
Design and implement Python-based data pipelines and utilities to process large-scale credit datasets including data ingestion, transformation, validation, and reconciliation using frameworks including Pandas, PySpark, and AWS Lambda
Develop reusable code modules that support automated data operations and maintain end-to-end data integrity across critical systems
Build and maintain metadata catalogs, data dictionaries, and data lineage documentation to support enterprise-wide transparency and data governance initiatives
Facilitate and manage Agile processes to ensure clear prioritization, timely delivery and traceability of data features across cross-functional teams
Champion Agile product management methodologies using tools such as Jira and Confluence to manage product backlogs, user stories, and delivery milestones
Enable knowledge transfer by creating documentation, reference materials, and training resources to support business stakeholders in effectively using delivered data solutions
Must be within commutable distance of New York, NY with flexibility to travel to Wilmington, DE
Occasional domestic travel to work from company’s DE office required
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
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91166119
Position Id: 9058565
Posted 25 days ago

Company Info

About Skillify Solutions

At Skillify Solutions, we believe that anyone and everyone should be given the opportunity to build a successful career, irrespective of their prior academic or professional background. We play a pivotal role in the growth and success of learners and organizations through our top-notch training programs, boot camps, certification courses, placement services, and corporate consulting.

Job Details

Skills

Data Acquisition
Data Architecture
Data Analysis
Amazon Web Services
Data Cleansing
Data Governance
Data Integrity
Data Quality
Banking
JIRA
Machine Learning (ML)
Python
SQL
PySpark
Pandas

Summary

< class="XzFqK ILxcde">Responsibilities

Deliver strategic data initiatives within a large multinational bank, including cloud migration, data platform modernization, and enterprise-wide data transformation programs
Define and execute product maps for data assets that support critical financial, regulatory, operational, and analytical use cases
Design curated, reusable, and governed data products on Partnerships Card portfolios
Use Agile methodology to deliver high impact-data solutions by serving as the primary bridge between business stakeholders and engineering teams gathering requirements, translating complex business requirements and technical limitations into actionable product features, and delivering scalable data solutions
Leverage data strategy expertise to unlock business value across key domains, including Card Partnerships, Loans, Consumer Banking, and Credit Data
Identify strategic opportunities to use data as an asset, influence roadmap decisions, and translate analytical insights into actionable outcomes that drive customer experience, revenue growth, and operational efficiency
Shape the design of data products using Partnerships Card expertise
Architect and implement cloud-native data architecture knowledge to support the migration of legacy, on-premises data storage systems to AWS, using cloud tools (e.g., S3, Glue, and Redshift)
Embed data governance, lineage, metadata, and quality standards into every stage of the delivery lifecycle
Drive alignment with the bank’s enterprise data strategy by shaping initiatives around digital transformation, data monetization and modernization ensuring they integrate seamlessly with the broader business architecture and comply with evolving regulatory frameworks
Develop advanced data validation and quality assurance processes across TSYS data systems using SQL, Python, and PySpark
Ensure data integrity, consistency, and reliability across multiple downstream banking platforms by proactively identifying anomalies, resolving data quality issues, and maintaining trust in critical datasets
Design and implement Python-based data pipelines and utilities to process large-scale credit datasets including data ingestion, transformation, validation, and reconciliation using frameworks including Pandas, PySpark, and AWS Lambda
Develop reusable code modules that support automated data operations and maintain end-to-end data integrity across critical systems
Build and maintain metadata catalogs, data dictionaries, and data lineage documentation to support enterprise-wide transparency and data governance initiatives
Facilitate and manage Agile processes to ensure clear prioritization, timely delivery and traceability of data features across cross-functional teams
Champion Agile product management methodologies using tools such as Jira and Confluence to manage product backlogs, user stories, and delivery milestones
Enable knowledge transfer by creating documentation, reference materials, and training resources to support business stakeholders in effectively using delivered data solutions
Must be within commutable distance of New York, NY with flexibility to travel to Wilmington, DE
Occasional domestic travel to work from company’s DE office required
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
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

Dice Id: 91166119
Position Id: 9058565
Posted 25 days ago

Company Info

About Skillify Solutions

Data Analyst

Remote or Hybrid in New York, New York

•

25d ago

About the Role We''re looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments. This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover mea

Easy Apply

Full-time, Third Party

100,000 - 120,000

Data Scientist

Skills

Summary

Dice Job Match Score™

Shaiz Cheeda

Similar Jobs

Data Scientist

Skillify Solutions

Job Details

Skills

Summary

Company Info

About Skillify Solutions

Dice Job Match Score™

Shaiz Cheeda

Similar Jobs