Director of Data Platforms – Governance

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🕒 May 26

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Noria Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

Events

Noria Corporation is a prominent company in the maintenance and reliability industry, known for organizing the Reliable Plant Conference & Exhibition. Held in Chicago, IL, this event draws a diverse array of maintenance and reliability professionals from around the world. Noria Corporation focuses on asset management, offering learning sessions, case studies, and exposure to the latest technologies to improve maintenance practices. It serves as a hub for networking and professional development, providing attendees with insights into cutting-edge reliability technologies and valuable industry connections.

📋 Description

• Define Data Platform Strategy: In partnership with senior leadership, define the vision, roadmap, and operating model for AssetWatch’s data platform, ensuring it supports analytics, product development, and AI initiatives across the organization. • Lead the Data Platforms Organization: Build, lead, and develop the data platforms team, establishing clear goals, accountability, and performance expectations. Develop managers and engineers while fostering a culture of ownership, collaboration, and continuous improvement. • Set Organizational OKRs: Partner with executive leadership to define strategic OKRs for the data platform organization and translate them into measurable goals for teams and individuals. • Own Data as a Company Asset: Establish the governance framework that ensures data across the organization is well-defined, trusted, and properly managed, including dataset ownership, data definitions, lineage, access controls, and lifecycle management. • Data Platform Architecture: Design and evolve AssetWatch’s cloud data platform using AWS technologies such as S3, Glue, Athena, Redshift, and Lambda to support scalable analytics, reporting, and AI workloads through MCPs. • Data Ingestion & Pipelines: Oversee the development and reliability of data pipelines ingesting information from product telemetry, APIs, and enterprise SaaS systems. • Curated Data & Data Modeling: Lead the creation of trusted datasets used for reporting, operational decision making, and machine learning. • AI-Ready Data Infrastructure: Ensure the company’s data platform is structured to support AI and machine learning initiatives by enabling reliable, well-modeled data inputs for ML pipelines and advanced analytics. • Enterprise Systems Data Integration: Partner closely with Enterprise Applications leadership to ensure systems such as Salesforce, finance platforms, and customer success tools integrate cleanly into the data platform. • Data Quality & Reliability: Establish monitoring and operational processes that ensure data accuracy, pipeline reliability, and data freshness. • Security, Privacy & Compliance: Work with IT and Security teams to ensure the data platform meets SOC2 and privacy requirements including access control, encryption, audit logging, and retention policies. • Operational Efficiency: Eliminate manual reporting workflows and redundant integrations by creating scalable, automated data pipelines and shared data models. • Cross-Functional Leadership: Lead highly visible initiatives that align teams across engineering, product, operations, and leadership to improve data reliability and organizational decision-making.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. • 10+ years of experience in data engineering, analytics platforms, or data infrastructure roles, including experience leading teams. • Experience defining and executing data platform strategy in a cloud environment. • Strong experience building and operating data platforms using AWS technologies such as S3, Glue, Athena, Redshift, and Lambda. • Experience building and managing teams responsible for data engineering, analytics infrastructure, or data platforms. • Strong experience designing ETL/ELT pipelines that integrate data from APIs, SaaS systems, and product telemetry. • Experience implementing data governance frameworks, including dataset ownership models, data definitions, and access controls. • Strong SQL and data modeling expertise, with experience building curated datasets used across analytics and operational reporting. • Experience integrating data from enterprise business systems, particularly: • Salesforce • Finance and operational reporting systems • Customer Success or support platforms • Experience with NetSuite or similar ERP systems is a strong plus. • Experience supporting analytics, BI, data science, or AI/ML teams with scalable data infrastructure. • Strong leadership and communication skills with the ability to influence cross-functional stakeholders and executive leadership. • Ability to operate with high autonomy, exercising wide latitude in determining objectives and approaches to complex initiatives. • Proven ability to build high-performing teams, hold teams accountable for outcomes, and deliver against strategic commitments.

🏖️ Benefits

• Competitive compensation package including stock options • Flexible work schedule • Comprehensive benefits including retirement plan match • Opportunity to make a real impact every day • Work with a dynamic and growing team • Unlimited PTO