Diligent Corporation

Director Engineering Operations

$174K–$220KFull-time · New York, NY +2 more
✓ Verified live on the employer's own system · added 247 days ago
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Senior · 8+ yrs exp

Requirements

Experience: 8+ years

Skills & tools

CommunicationsTeam LeadershipDevopsMachine LearningOperationsProcess ImprovementProgrammingProject Management
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Full job description

- Architect and own the engineering operating cadence (QBRs, monthly business reviews, strategic planning and org-wide communications) to drive clarity and alignment.

- Define and maintain engineering success metrics and performance dashboards, turning complex datasets into clear, actionable insights for senior leadership and the Board.

- Maintain a portfolio-level view of major engineering initiatives, flagging risks early and standardising delivery frameworks to improve predictability and quality.

- Optimise engineering tools, workflows and automation (including CI/CD and AI-driven tools) to increase velocity, reliability and decision quality.

- Lead horizontal, cross-functional programmes (for example cloud migrations, GRC frameworks, GenAI adoption) that require alignment across Engineering, Product and customer-facing teams.

- Build, mentor and develop a globally distributed Engineering Operations and Program Management team, fostering a culture of accountability, continuous improvement and data-driven decision making.

- 8-10+ years in Engineering Operations, software engineering leadership, Technical Program Management, transformation, strategy or business operations in a high-growth SaaS environment.

- Proven experience defining operational frameworks, delivery standards and KPI systems in a global organisation, with a focus on problem solving, programme scoping and execution.

- Strong understanding of SDLC, agile methodologies, CI/CD, DevOps and microservices architectures.

- Advanced analytical skills using tools such as Excel, Looker, Tableau or similar, with the ability to turn data into clear, executive-ready narratives and recommendations.

- Demonstrated experience driving AI-related innovation, from evaluating opportunities and implementing tools to influencing adoption and change at scale.

- Track record of improving engineering processes, delivery predictability and cross-functional alignment across distributed teams.

- Experience leading and developing teams, including managing 6+ FTEs across multiple geographies, with strong stakeholder management, executive presence and high EQ.

- Experience working in a private equity-backed SaaS company and navigating associated performance expectations and governance.

- Hands-on experience with OKR frameworks and outcome-based planning in large product and engineering organisations.

- Relevant certifications (for example PMP, Agile, Lean) or equivalent practical experience in scaling operational excellence.

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