Senior Manager, Enterprise Data (Remote)

Compensation

At Optro, we provide a fair and competitive salary based on a variety of factors, including:

• The scope and responsibilities of the role
• Your relevant skills, experience, and certifications
• Where you are physically located (based on our regional tier system)

Note on Internal Ranges: Optro maintains broader internal salary grades to allow for future career growth and merit-based increases within the role over time.

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 Saa S 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

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.

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