Who We Are

Having surpassed $300M ARR and continuing to grow, Optro helps enterprises transform risk into opportunity through its AI-powered GRC Intelligence Platform. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: Optro is top-rated on G2.com and Gartner Peer Insights.

At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the seventh year in a row, as ranked by Deloitte!

Why This Role is Exciting

As a Senior Manager, Enterprise Data you’ll own and scale the central “hub” of our enterprise data ecosystem. You’ll oversee our data warehouse, ingestion, and transformation processes to deliver trusted, well-governed data that powers decision-making across the business. You’ll also implement best practices for data modeling, ensuring pipelines are organised, secure, reliable and scalable. Partnering with GTM, Finance, Product and other cross-functional teams, you’ll help shape a forward-looking strategy that leverages AI and advanced analytics to drive business impact. This is a high-impact opportunity to set enterprise-wide standards and maximize the strategic value of data.

Key Responsibilities

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.

Attributes for a Successful Candidate

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.

Perks (United States)

Launch a career at one of the fastest-growing SaaS companies in North America and EMEA!

Live your best life (LYBL)! $200/mo for anything that enhances your life