Senior Manager, Enterprise Data

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Optro

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2014

☁️ SaaS

📋 Compliance

🤖 Künstliche Intelligenz

SaaS • Compliance • Artificial Intelligence

Optro ist ein Unternehmen für Unternehmenssoftware (früher AuditBoard), das eine KI-gestützte Governance-, Risiko- und Compliance-Plattform (GRC) für große Organisationen bietet. Sein cloudbasiertes System verbindet Audits, Kontrollen, Risikobewertungen, Risiken von Dritten und Compliance-Rahmenwerke in ein einheitliches Betriebsmodell, das kontinuierlich Beweise überwacht, Kontrollversagen aufdeckt und Assurance-Workflows automatisiert. Optro richtet sich an Unternehmen und regulierte Organisationen, die Risikoprogramme skalieren, die Transparenz und Compliance verbessern und domänenerprobte KI nutzen möchten, um von reaktiver Aufsicht zu proaktivem Risikomanagement überzugehen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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