Senior Manager, Enterprise Data

🕒 Julho 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $181.600 - $249.700 / ano

⏰ Tempo Integral

🟠 Sênior

👔 Gerente

👻 Score fantasma 24%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Optro

Optro

501 - 1000 funcionários

Fundada em 2014

☁️ SaaS

📋 Conformidade

🤖 Inteligência Artificial

SaaS • Compliance • Artificial Intelligence

A Optro é uma empresa de software corporativo (anteriormente conhecida como AuditBoard) que oferece uma plataforma de Governança, Risco e Conformidade (GRC) impulsionada por inteligência artificial para grandes organizações. Seu sistema baseado em nuvem conecta auditorias, controles, avaliações de risco, risco de terceiros e estruturas de conformidade em um modelo operacional unificado que monitora continuamente evidências, identifica falhas de controle e automatiza fluxos de trabalho de garantia. A Optro tem como alvo empresas e organizações regulamentadas que buscam ampliar programas de risco, melhorar a visibilidade e conformidade, e aproveitar a IA treinada em domínios para passar de uma supervisão reativa para um gerenciamento de risco proativo.

Descrição

• Lead the enterprise data hub by managing the data warehouse and building reliable, optimised pipelines to ingest and transform data from systems across GTM, Product, Finance, and HR • Drive an enterprise-wide data governance strategy by partnering cross-functionally to align on KPIs, key data definitions and ensure quality, security, and compliance. • Prioritize and manage the data roadmap through sprint planning and balancing immediate stakeholder needs with scalable long-term architecture • Implement best practices for data modeling, testing, and documentation to maintain clean, scalable, and auditable transformations. • Deliver GTM-ready data by building trusted pipelines for metrics like pipeline health, bookings, churn, and customer lifetime value. • Develop and execute a data strategy that enables advanced analytics and AI/ML use cases across the business. • Lead and mentor a hub team of data and analytics engineers, setting priorities, CI/CD standards, and fostering a culture of reliability and innovation. • Stay ahead of industry trends in modern data stack tools, orchestration and AI-driven data transformation.

🎯 Requisitos

• 8+ years of experience in data/analytics engineering or enterprise data management • Demonstrated ability to design and implement data governance frameworks and lead cross-functional stakeholders to align on KPIs, data standards, and strategic roadmaps. • Proven expertise managing cloud data warehouses (e.g., Snowflake) and scaling enterprise data platforms. • Hands-on experience with the modern data stack, including dbt for data transformation, orchestration tools (Airflow, Dagster), and ingestion tools (Fivetran, etc.). • Experience implementing access controls, role-based permissions, and data masking to protect sensitive information across systems • Strategic mindset with exposure to AI/ML, capable of identifying opportunities to leverage advanced analytics for business impact. • Experience leading sprint prioritization, roadmap management, and mentoring high-performing data teams. • Business acumen in SaaS or technology companies, with familiarity in metrics such as ARR, churn, pipeline health, and customer lifetime value.

🏖️ Benefícios

• Live your best life (LYBL)! $200/mo for anything that enhances your life • Comprehensive employee health coverage • 401(k) with company match • Competitive compensation & bonus program • Flexible vacation (exempt) / Accrued vacation (non-exempt) • Time off for your birthday & volunteering • Employee resource groups • Opportunities for team and company-wide get-togethers! • Parental Leave

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