ServiceNow Digital Technology is looking to redefine IT with a focus on transformation, experience, AI-driven automation, innovation, and growth. The company aims to deliver delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. This role is crucial for establishing and executing data governance frameworks, data quality programs, and metadata tooling to ensure data trust, security, and compliance.
Requirements
- Proficiency in SQL and Python, with practical experience using Snowflake for data processing and transformation
- Skilled in reporting and dashboard creation using Power BI
- Deep understanding of data governance principles and frameworks
- Demonstrated experience implementing and monitoring data quality programs at scale
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Experience working cross-functionally across engineering, analytics, product, and legal teams.
- Collaborate with data engineers to manage schema validation, anomaly detection, and alerting.
Responsibilities
- Drive the data governance roadmap aligned with product, engineering, and business goals.
- Design and implement scalable frameworks to ensure data trust, security, and platform reusability.
- Establish and maintain data ownership models with engineering, analytics, and product teams.
- Implement automated data quality checks across pipelines in partnership with dev teams.
- Monitor and manage key data quality KPIs using commercial or in-house DQ tooling.
- Serve as product owner for data governance tooling and metadata platforms.
- Oversee automated metadata and lineage tracking across data tools (e.g., PBI, Snowflake).
Other
- Serve as product owner for internal data governance platforms, partner with cross-functional teams to align on compliance and ownership standards, and promote a culture of data stewardship across the company.
- Partner with Legal and cross-functional stakeholders to conduct data governance reviews.
- Coordinate policy awareness, adoption, and updates across teams.
- Resolve high-impact data issues that affect customer experience or metric integrity.
- Ensure business stakeholders (e.g., product managers, marketing, GTM) have access to trusted, well-documented data.
- Implement controls to ensure compliance with privacy/security regulations (e.g., GDPR, CCPA, SOC 2).
- Champion data stewardship best practices across teams and functions.
