Project Manager overseeing payroll system implementation with global outsourcing partner. Leading cross - functional teams and stakeholder engagement for project success.
About the role
- Manager, Quality – Business Data Engineer responsible for managing RQA data governance and analytics. Collaborate with teams to enhance data solutions and drive technological advancements.
Responsibilities
- Oversee the management, optimization, and governance of the RQA datalake, ensuring data quality, security, and compliance with internal and external standards.
- Develop, document, and implement best practices for data management.
- Collaborate closely with technical support team to triage, escalate, and resolve issues in the datalake, web applications, and dashboards.
- Provide direction and review to technical support team in implementing solutions aligned with business needs.
- Support the development and enhancement of dashboards, web applications, and digital tools in partnership with the Digital and Technology team aligned with business needs.
- Work collaboratively with system owners and stakeholders outside of RQA to support enterprise Quality data integrity and availability.
- Partner with RQA Data and Analytics and Digital and Technology teams to prepare data infrastructure for AI/ML initiatives, implement advanced analytics, and support model development and operational readiness.
- Drive implementation of AI tools into development, data quality, and maintenance workflows.
- Support execution and enhancement of risk assessment processes.
- Proactively identifies opportunities for improvement within RQA.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 5 + years industry experience ; advanced degree preferred.
- Demonstrated expertise in modern data and analytics platforms (e.g., Snowflake, Dataiku DSS).
- Experience in working with large datasets, data visualization tools, and statistical software packages (e.g., SQL, Python, Spotfire, PowerBI).
- Proven experience designing, building, and managing large-scale data infrastructure and analytics pipelines.
- Strong understanding of data governance, data quality, and best practices for data management in regulated industry.
- Demonstrated working knowledge of data science principles, statistical modeling, and AI/ML concepts; able to support and enable advanced analytics initiatives.
- Experience collaborating with cross-functional teams, including business stakeholders and technical experts.
- Excellent analytical, problem-solving, and communication skills.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer 3 optimizing Market Place processes for Walmart Global Tech's Chennai team. Developing data pipelines and ensuring efficient utilization of Market Place systems.
Data Engineer at Michelin designing and supporting data analytics systems. Involved in data transformation and pipeline quality assurance.
Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
Data Engineer I at Catalyst Brands developing and optimizing data pipelines for cross - functional teams. Designing next generation data platform architecture to meet increasing data demands in a retail environment.
Data Engineer at Grupo Iter responsible for data pipelines and architecture in Azure. Collaborating on data governance and integrating analytics with Power BI.
Data Analyst for Technical Registrations at Alpargatas. Responsible for SAP data governance and product registration processes.
Full Stack Data Architect for Concurrency designing Azure data - intensive applications. Leading complex data architecture initiatives and mentoring engineering teams in a high - performance environment.
AHEAD builds digital business platforms; seeking a Data Engineer in a development program. Join us to grow into a technical leader emphasizing skills across various practices.
Data Engineer creating clean, reliable data pipelines for Plenti, a fintech lender. Collaborating with modern tools like AWS and Databricks to enhance data quality and analytics.