Director of Data Platforms – Governance

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🕒 Maio 26

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Noria Corporation

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1997

Events

A Noria Corporation é uma empresa proeminente na indústria de manutenção e confiabilidade, conhecida por organizar a Reliable Plant Conference & Exhibition. Realizado em Chicago, IL, este evento atrai uma vasta gama de profissionais de manutenção e confiabilidade de todo o mundo. A Noria Corporation foca no gerenciamento de ativos, oferecendo sessões de aprendizado, estudos de caso e exposição às mais recentes tecnologias para melhorar as práticas de manutenção. Ela serve como um centro para networking e desenvolvimento profissional, fornecendo aos participantes insights sobre tecnologias de confiabilidade de ponta e conexões valiosas na indústria.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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