3 Senior Software Engineer Port Data Validation Services London Gbr Posted Yesterday jobs in Islington
Job No Longer Available
This position is no longer listed on WhatJobs. The employer may be reviewing applications, filled the role, or has removed the listing.
However, we have similar jobs available for you below.
Data Quality and Governance Manager
E14 Bromley by Bow, London
Barclays Bank PLC
Posted 8 days ago
Job Viewed
Job Description
As a Data Quality and Governance Manager you will be part of the Data Governance and Quality Team, you'll play a key role in safeguarding our customers' data and ensuring it's used responsibly across BUK. This involves identifying the root causes of issues and leveraging data to resolve customer challenges. You'll also support data governance processes and assist in managing our critical data elements To be successful as a Data Quality and Governance Manager, you should have experience withProven experience using data and insights to address customer challengesGreat problem-solving skills with a focus on data-driven solutionsKnowledge of data governance, risk management, or controls Some other highly valued skills may include Experience working in an Agile environmentProficiency in data analyticsUnderstanding of data privacy principlesYou may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.This role can be based in Manchester (4PP), Glasgow or Northampton.nPurpose of the roleTo develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. AccountabilitiesDevelopment and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.Monitoring data quality and records metrics and compliance with standards across the organization.Identification and addressing of data and records management risks and gaps.Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records.Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives.Provision of Group wide guidance and training on Data and Records Management standard requirements.Assistant Vice President ExpectationsTo 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 outcomesIf 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.
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 3 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
10044397
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
10044397
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
1
Quality Site Specialist, AGI Data Services - G T Quality
London, London
Amazon
Posted 3 days ago
Job Viewed
Job Description
Description
The Quality Site Specialist is a critical program management role responsible for helping to drive site-level quality excellence across Amazon's operations. This position partners with quality specialists, site leads, and operations managers to identify, analyze, and address site-specific quality issues while implementing best practices across the network.
Key job responsibilities
- Support difficult, cross-functional quality improvement projects from inception to completion, working independently while seeking guidance when needed
- Perform daily side-by-sides with DAs and QAs to understand ground-level operations and identify improvement opportunities
- Partner with quality specialists to analyze workflow-level root causes and implement solutions within the site
- Develop and maintain strong partnerships with site leads and operations managers to address site-specific quality challenges
- Own program-level communication and metrics reporting for quality initiatives
- Accelerate progress by helping drive timely decisions, identifying and clearing blockers, and escalating appropriately
- Apply process improvement methodologies to optimize cross-team processes that enhance team efficacy and delivery
- Mentor team members and help develop quality best practices
Basic Qualifications
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience in program or project management
- Experience working cross functionally with tech and non-tech teams
- Experience in defining and implementing process improvement initiatives using data and metrics
- Experience defining program requirements and using data and metrics to determine improvements
- Strong analytical and problem-solving skills
- Excellence in written and verbal communication
- Demonstrated ability to influence without authority
Preferred Qualifications
- Experience in driving end to end delivery, and communicating results to senior leadership
- Experience leading process improvements
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- Knowledge of Lean, Six Sigma, or other quality improvement methodologies
- Previous experience in a manufacturing or logistics environment
- Project management certification (PMP, CAPM, or equivalent)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The Quality Site Specialist is a critical program management role responsible for helping to drive site-level quality excellence across Amazon's operations. This position partners with quality specialists, site leads, and operations managers to identify, analyze, and address site-specific quality issues while implementing best practices across the network.
Key job responsibilities
- Support difficult, cross-functional quality improvement projects from inception to completion, working independently while seeking guidance when needed
- Perform daily side-by-sides with DAs and QAs to understand ground-level operations and identify improvement opportunities
- Partner with quality specialists to analyze workflow-level root causes and implement solutions within the site
- Develop and maintain strong partnerships with site leads and operations managers to address site-specific quality challenges
- Own program-level communication and metrics reporting for quality initiatives
- Accelerate progress by helping drive timely decisions, identifying and clearing blockers, and escalating appropriately
- Apply process improvement methodologies to optimize cross-team processes that enhance team efficacy and delivery
- Mentor team members and help develop quality best practices
Basic Qualifications
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience in program or project management
- Experience working cross functionally with tech and non-tech teams
- Experience in defining and implementing process improvement initiatives using data and metrics
- Experience defining program requirements and using data and metrics to determine improvements
- Strong analytical and problem-solving skills
- Excellence in written and verbal communication
- Demonstrated ability to influence without authority
Preferred Qualifications
- Experience in driving end to end delivery, and communicating results to senior leadership
- Experience leading process improvements
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- Knowledge of Lean, Six Sigma, or other quality improvement methodologies
- Previous experience in a manufacturing or logistics environment
- Project management certification (PMP, CAPM, or equivalent)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Senior software engineer port data validation services london gbr posted yesterday Jobs in Islington !
2