Who We Are
Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market. 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
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
*perks may vary based on eligibility/location
Our Company Values
Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset.
Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes.
Drive innovation: Create the future. Continuously improve what exists and invent what’s next.
Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success.
Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve.
Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information.
We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation.
#LI-Remote
Skills Required
- 8+ years of experience in data/analytics engineering or enterprise data management
- Design and implement data governance frameworks and align cross-functional stakeholders on KPIs and data standards
- Proven expertise managing cloud data warehouses (e.g., Snowflake)
- Hands-on experience with modern data stack: dbt for transformations, orchestration tools (Airflow, Dagster), ingestion tools (Fivetran)
- Experience implementing access controls, role-based permissions, and data masking
- Strategic mindset with exposure to AI/ML and identifying advanced analytics opportunities
- Experience leading sprint prioritization, roadmap management, and mentoring data and analytics engineers
- Business acumen in SaaS/technology and familiarity with ARR, churn, pipeline health, and customer lifetime value metrics
Optro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Optro and has not been reviewed or approved by Optro.
-
Wellbeing & Lifestyle Benefits — A monthly wellness stipend (often cited around $200), mental-health resources like Headspace, coaching, and therapy, plus office meals/snacks and hybrid/remote flexibility enhance day-to-day support. These extras contribute to a well-rounded package beyond base pay.
-
Leave & Time Off Breadth — Generous PTO spans vacation, holidays, sick time, and bereavement, with many salaried roles described as having flexible or “unlimited” PTO. Paid leave options for parents further expand available time away.
-
Fair & Transparent Compensation — Salary ranges are openly listed for multiple roles (e.g., Senior Software Engineer II at $156,000–$214,500 with a 15% target bonus), indicating clear pay bands and structure. Stated positioning of a competitive compensation and bonus program supports expectations of market-aligned pay.
Optro Insights
What We Do
Optro (formerly AuditBoard) helps enterprises transform risk into opportunity, redefining GRC through an agentic system of action. More than 50% of the Fortune 500 trust Optro to elevate audit, risk, and compliance in addressing a new era of risk. Optro is top-rated by customers on G2 and was named a Leader in the 2025 Gartner® Magic Quadrant™ for Governance, Risk and Compliance (GRC) Tools, Assurance Leaders. To learn more, visit: optro.ai.


.png)





