Location: New York, NY
Company: New York Life
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. Position Summary New York Life is seeking a skilled, experienced, outcomes-oriented Senior Data Quality Engineer to develop and implement activities that apply data quality management principles, methods , and technologies to ensure data are fit to serve specific operational and analytical business needs, with a focus on supporting Gen AI use cases.
Responsibilities include providing expert-level application of data quality management capabilities including profiling, defining data/information goals aligned
with business priorities, implementation, and automation of operational data quality measures/KPI's and dashboards, and data defect identification, prioritization, and remediation.
The major focus is to monitor and measure quality of unstructured data, multimodal data (images, audio, video, etc. ) and metadata supporting emerging Gen AI investments and use cases. The role also requires an ongoing monitoring and backssment of the quality including bias of Gen AI use case outcomes. The role requires an backssment of levels of data/information quality in the context of business needs, reporting on business impacts, finding root causes of data quality deficiencies, and making recommendations
on both tactical and strategic changes to prevent future negative impacts and enable positive business outcomes Success in the role will be measured by the degree to which foundational and emerging data quality management capabilities are employed to support the objectives of New York Life business priorities with an emphasis on emerging Gen AI use cases.
Key Accountabilities: Perform as a member of a team in the Chief Data Officer organization, with a concentration on the implementation of Gen AI use cases involving both structured data and unstructured information and metadata Fully understand and influence the definition and desired outcomes of emerging Gen AI use cases Identify sources of data/information to enable emerging use cases for Gen AI, and define and execute methods to evaluate and report on quality of data/information and metadata Provide expert-level application of data quality management capabilities including profiling, defining data/information goals aligned with business priorities, implementation, and automation of operational data quality measures/KPI's and dashboards, and data defect identification, prioritization, and remediation backss levels of data/information quality with a focus on unstructured, multi-modal and metadata Monitor and backss of the quality, including bias, of Gen AI use case responses, and make recommendations to improve outcomes Develop and nurture effective relationships and a partnership with leaders and staff in business, technology, data strategy, data governance, data architecture, data science, ML engineering, data engineering and technology platforms ownership roles Assist in the development, maintenance, and promotion of data governance deliverables/assets, including data policies, data standards and data management roles and decision frameworks Assist in the development of Communities of Practice - virtual organizations that meet regularly to share ideas, best practices, and promote a culture where data are managed as an asset of the company Assist in the evaluation and reporting of emerging industry trends and technologies relevant to data management Skills and Experience required: 5+ years proven experience in AI/ML or a similar role, and understanding of advanced analytics, data science and [Gen] Artificial Intelligence (AI) A good understanding and passion for the role of data governance in enabling data as an asset Expert level proficiency and demonstrated ability with data management methodologies and technologies with an emphasis on data quality profiling, data quality rules coding, data catalogs, metadata management, and master/reference data management Demonstrated skills and experiences in a Data/Dev Ops role, implementing automation of data quality capabilities including data quality measures, exception handling and testing within defined and evolving data pipelines Demonstrated understanding and experience working in a Scaled Agile environment Strong proficiency to backss and understand business requirements, solve problems, and model current and future state business processes and data domains/entities Ability to perform basic project management functions such as project plan development and resource / time estimation of tasks Demonstrated ability to collaborate, communicate, build relationships, mentor and influence a community of data and technical professionals across lines of business and functional areas Strong written, verbal and communication skills with the demonstrated ability to work with all levels within the organization Ability to tell a story through presentations, to motivate and influence adoption of new ideas and capabilities Strong understanding of IT methodologies, functions and services Ability to work in a fast-paced environment and manage multiple simultaneous priorities Demonstrated ability to think end-to-end, connect moving parts, and anticipate and manage change impacts Ability to define and leverage metrics to drive performance and outcomes Working knowledge of MS Word, Excel, and Power Point Experience with BI/visualization tools like Tableau is desirable Awareness of relevant and emerging financial services / insurance data standards is desirable Education Bachelor's degree in Computer Science, Data Science, AI, or a related field.
Master's degree preferred Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life. " To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89181 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Quality Engineer, Database, Senior Quality Engineer, Data Management, Executive, Engineering, Technology, Data, Management Requisition #: 104789xyz X6ahf9io63
Quality Assurance (QA) jobs entail roles focused on ensuring that products or services meet established standards and customer expectations. People in QA positions are responsible for designing testing processes, creating test plans, identifying defects, and preventing defects by examining the production process. They aim to enhance product reliability and actively work to maintain quality consistency. QA roles often require keen attention to detail, strong problem-solving skills, and an understanding of both product specifications and customer needs. QA is an integral part of product development and maintenance, bridging the gap between the manufacturing processes and the end users to ensure a satisfactory experience.
Quality Assurance (QA) jobs involve ensuring that products, services, or software meet established standards of quality before they reach the consumer. Professionals in QA roles are responsible for identifying defects, implementing test strategies, and ensuring compliance with industry regulations. Key features of QA jobs include attention to detail, a systematic approach to problem-solving, and a focus on continuous improvement. QA specialists work to prevent errors and enhance customer satisfaction by aiming for zero defects and delivering reliable performance.
Quality Assurance (QA) jobs entail roles focused on ensuring that products or services meet established standards and customer expectations. People in QA positions are responsible for designing testing processes, creating test plans, identifying defects, and preventing defects by examining the production process. They aim to enhance product reliability and actively work to maintain quality consistency. QA roles often require keen attention to detail, strong problem-solving skills, and an understanding of both product specifications and customer needs. QA is an integral part of product development and maintenance, bridging the gap between the manufacturing processes and the end users to ensure a satisfactory experience.
Quality Assurance (QA) jobs involve ensuring that products or services meet specific standards and satisfy customer expectations. Professionals in this field focus on systematic processes and preventative measures during production or development to prevent mistakes and defects. QA roles typically require keen attention to detail, problem-solving skills, and knowledge of industry standards. They may encompass various tasks, such as developing quality assurance plans, conducting tests, and analyzing data to improve quality and reliability. QA jobs contribute significantly to a company's reputation by guaranteeing product consistency and safety.
