Global Engineering Operations & Strategy Leader

Diligent Corporation

Washington

Hybrid

USD 174,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Flexible work environment

Health benefits

Global teams

Job summary

Diligent is seeking a seasoned Engineering Operations leader to shape the operating cadence of an 800-person global engineering org in a high-growth SaaS setting. You will own success metrics, dashboards and cross-functional initiatives spanning Product, Design, QA and Customer Success, with a focus on data-driven decision making and continuous improvement.

You will lead a globally distributed team, drive AI-enabled tooling adoption, and partner with senior leaders to align strategy, delivery

Qualifications

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, deliverystandards 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 recordof improving engineering processes, deliverypredictabilityand cross-functional alignment across distributed teams.
Experience leading and developing teams, including managing 6+ FTEs across multiple geographies, with strong stakeholder management, executivepresenceand high EQ.

Responsibilities

Architect and own the engineering operating cadence (QBRs, monthly business reviews, strategicplanning 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.