CTO Associate Manager

10+ years of experience in SaaS platforms, data operations, data engineering, or related technology leadership roles.
Understanding of enterprise data workflows, orchestration tools (e.g., Control-M, Azure Data Factory, Databricks), and operational dependencies is optional.
Experience working in Agile environments, including participation in scrum ceremonies and backlog prioritization.
Proven ability to communicate effectively with business leaders, understand their priorities, and translate them into actionable plans.
Exceptional stakeholder management and collaboration skills, with a focus on building trust and alignment across business and technical teams.
Strong verbal and written communication, with the ability to develop high-quality executive presentations and communicate delivery status, risks, and metrics.
Familiarity with observability and monitoring tools such as Grafana, Azure Monitor, Datadog, or similar platforms.
Experience working in fast-paced, matrixed organizations with dynamic priorities and high visibility.
Demonstrated problem-solving skills with a proactive and analytical mindset.
A passion for operational excellence, continuous improvement, and customer satisfaction.

Act as the SaaS Platform Lead, accountable for the overall stability, reliability, and performance of the platform.
Serve as the Operations Point-of-Contact for DataOps Leads—regularly joining scrum calls, capturing key requirements, surfacing challenges, and identifying gaps in delivery.
Work closely with business stakeholders to elicit, understand, and clearly articulate requirements, priorities, and business impacts.
Maintain a catalog of critical jobs and pipelines, including dependencies, SLAs, and escalation protocols.
Identify and escalate bottlenecks in delivery and work with cross-functional teams to drive mitigation plans and timeline transparency.
Onboard high-impact jobs and workflows into the observability platform to ensure complete visibility and monitoring.
Facilitate bi-directional communication between engineering teams and business users—translating complex technical insights into actionable and understandable business updates.
Build and maintain executive-level dashboards, presentations, and status updates that summarize platform health, issue resolution progress, and business value delivered.
Drive continuous improvement in operational processes, platform self-service capabilities, and monitoring coverage.
Proactively lead discussions around platform KPIs, error trends, and delivery performance with key stakeholders.

Understanding of enterprise data workflows, orchestration tools (e.g., Control-M, Azure Data Factory, Databricks) is optional.