Senior Manager, Enterprise Data

🕒 July 9

🇺🇸 United States – Remote

💵 $181.6k - $249.7k / year

⏰ Full Time

🟠 Senior

👔 Manager

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Optro

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

☁️ SaaS

📋 Compliance

🤖 Artificial Intelligence

SaaS • Compliance • Artificial Intelligence

Optro is an enterprise software company (formerly AuditBoard) that provides an AI-powered Governance, Risk, and Compliance (GRC) platform for large organizations. Its cloud-based system connects audits, controls, risk assessments, third-party risk, and compliance frameworks into a unified operational model that continuously monitors evidence, surfaces control failures, and automates assurance workflows. Optro targets enterprises and regulated organizations seeking to scale risk programs, improve visibility and compliance, and leverage domain-trained AI to move from reactive oversight to proactive risk management.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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