Director Engineering Effectiveness*** Hybrid in Horsham, PA

About this role

About our Team

LexisNexis Reed Tech brings clarity to innovation for businesses worldwide. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve a competitive advantage for their business. Our Reed Tech suite of SingleSource™ for Medical Devices, SingleSource™ for Drug Products, and Navigator™ for Drug Labels enables life sciences companies to create product data management strategies and meet compliance deadlines on time. We are proud to directly support and serve these innovators in their endeavors to better humankind. For more information, please visit https://www.reedtech.com/ .

About the Team

Reporting to the CTO, the Director, Engineering Effectiveness will lead a cross-functional organization focused on improving how engineering teams deliver software across the business and on shaping the engineering operating model for an AI-first future. This leader will own Delivery Excellence, Quality Enablement, and AI Enablement, with accountability for improving engineering effectiveness, delivery predictability, release confidence, and driving the organization’s progression from teams using AI tools alongside traditional practices, through AI-led workflows with human oversight, toward increasingly autonomous delivery at scale.

About the Role

The Director will lead existing capabilities while helping define how engineering teams work in an environment where agents play an increasing role in code generation, testing, refactoring, and workflow execution. This leader will help the organization move beyond optimizing legacy engineering practices and instead build the mechanisms, guardrails, capabilities, and ways of working needed for durable AI-first software development. This role partners closely with engineering leaders across product engineering, platform engineering, infrastructure, security, and planning. It does not replace engineering leader accountability for delivery within their organizations. Instead, it owns the cross-cutting capabilities, practices, and enablement needed to help teams deliver more effectively and consistently across the organization.

Conditions of Employment:  You must be a U.S. citizen to apply for this position.  You must successfully pass a background investigation and achieve Public Trust security clearance.  Must be located near the Horsham, PA location for a Hybrid onsite schedule

ACCOUNTABILITIES ·       Lead the engineering effectiveness agenda across the organization, aligned to the CTO's strategic priorities ·       Translate engineering leadership priorities into clear operating rhythms, improvement plans, and measurable initiatives ·       Establish engineering scorecards and review cadences that improve visibility into delivery health, quality, execution risk, and engineering effectiveness ·       Define common expectations and fit-for-purpose ways of working where greater consistency improves engineering outcomes ·       Use data, team feedback, and operational observation to identify bottlenecks, reduce friction, and improve how engineering teams plan, build, test, and deliver software in both traditional and AI-assisted development environments ·       Build durable mechanisms for continuous improvement rather than one-time transformation efforts ·       Recommend and shape the additional capabilities, roles, and support needed to improve effectiveness at scale ·       Define effectiveness practices designed for small, durable delivery teams, including how quality gates, delivery rhythms, and planning practices apply at that scale across a portfolio of products ·       Lead the AI Enablement function focused on transforming how engineering teams work through AI-assisted and agent-enabled engineering workflows ·       Define and scale AI-first engineering practices that reflect how agents and AI tools are changing software development, testing, refactoring, and developer workflows ·       Identify high-value engineering use cases where AI-assisted and agent-enabled approaches can materially improve speed, quality, developer experience, or delivery effectiveness ·       Drive adoption of modern developer tooling, AI-assisted coding practices, and agent-enabled workflow patterns that deliver measurable value to engineering teams ·       Establish practical standards, guardrails, review patterns, and quality controls for safe and effective use of AI in software engineering in partnership with security, platform, legal, and other relevant leaders ·       Help the organization move from isolated experimentation with AI tools to durable changes in engineering workflows, team practices, and operating models ·       Own the definition, adoption, and scaling of spec-driven engineering practices, including the governed toolchain that enforces architecture, security, and quality standards across AI coding tools used by engineering teams ·       Define what good looks like at each stage of AI engineering adoption, establish clear benchmarks for measuring where teams are, and drive measurable team progression against those benchmarks ·       Assess where additional tooling, expertise, or organizational support is needed to accelerate adoption and impact ·       Lead the Delivery Excellence function, including scrum masters, delivery leads, and related delivery support roles ·       Improve planning quality, execution discipline, dependency management, and delivery predictability across teams and portfolios ·       Implement delivery practices that improve outcomes without overburdening teams with unnecessary process ·       Provide engineering leaders with clear visibility into delivery health, sequencing options, and execution risks ·       Support engineering leaders in improving forecasting, coordination, flow, throughput, and delivery reliability while preserving their accountability for delivery outcomes ·       Lead the Quality Enablement function as an

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