Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics

Role Summary

The Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics (AIDA) will be on a team responsible for the execution of the technical strategies and development of the digital analytics solutions to support our colleagues across Finance, People Experience, Legal, Compliance, and other Enabling Functions. 

Manager, Data and Analytics Engineer, Enabling Functions, AIDA will be part of an agile team designing, developing, and maintaining our data infrastructure and Visier People Analytics platform, ensuring data quality and modeling leveraging our tool stack including Visier People Analytics SaaS platform, Snowflake, Python, Airflow, and dbt.

Role Responsibilities

• Create, manage, and enhance Visier security design and frameworks to support expansion of Visier people analytics solution, including user accounts, roles, and permissions within the Visier People data and analytics platform, ensuring appropriate access levels for various stakeholder groups.

• Design and conduct periodic audits of the Visier platform and its security, documenting SOPs, compliance protocols, and related People Analytics solution documentation.

• Lead and coordinate issue resolution with various Business and Digital support teams, including the Visier People Analytics vendor platform team. Investigate and triage data pipeline issues (e.g., load failures, data quality concerns, bugs, and enhancement requests), and coordinate remediation efforts with all stakeholders, including Vendor, Digital and Business teams.

• Design, develop, maintain, and troubleshoot scalable cloud-native data pipelines and ETL/ELT processes.

• Implement data quality checks and monitoring mechanisms to ensure data accuracy and reliability.

• Optimize data storage and retrieval processes to improve performance and efficiency.

• Work with cloud-based data platforms and tools to manage and process large datasets.

• Collaborate with the People Insights business team, data scientists, solution architects, analysts, data engineers, and other stakeholders to understand data requirements and deliver effective solutions.

• Manage enhancement initiatives and the continuous resolution backlog, providing oversight to contracted resources.

• Ensure data security, audit readiness, and compliance with relevant regulations (such as GDPR, China PIPL, California Privacy laws etc) and standards.

• Troubleshoot and resolve data-related issues, providing support to end-users.

Basic Qualifications​

• Bachelor's degree in Computer Science, Engineering, or a related field and 5+ years of experience as a Data & Analytics Engineer or in a similar role; OR a Master’s degree with three years of relevant experience; OR an Associate's degree with eight years of relevant experience; Or a Ph.D. with 0+ years of experience; OR 10 years of relevant experience with a high school diploma or equivalent.

• Extensive experience in security, administration, operations, issue triage and troubleshooting of SaaS Visier People Analytics People Analytics platform and modern data engineering pipelines.

• Extensive experience in managing and maintaining the Visier People data and analytics platform and security model, ensuring its smooth operation, data accuracy, integrity and security.

• Strong knowledge of SQL and experience with relational and non-relational databases, preferably Snowflake or other (Redshift, PostgreSQL).

• Proficiency in programming languages such as Python or Java, R, Scala.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Experience with data quality and data modeling.

• Strong communication, collaboration and business consultation skills.

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Preferred Qualifications

• Experience with DevSecOps practices such as CI/CD and automated testing to ensure the reliability and scalability of data pipelines.

• Experience with applying DataOps principles to improve the efficiency and quality of data workflows, including version control, monitoring, and collaboration.

• Familiarity with microservices architecture and container services.

• Familiarity with big data technologies such as Spark, Hadoop.

• Familiarity with data orchestrators such as Airflow.

• Working experience with different types of data formats.

• Working experience with open-source data engineering tools. 

• Experience with data visualization tools such as Tableau or Power BI.

• Knowledge of machine learning and data science concepts.

The annual base salary for this position