Delivery Manager - Evinova

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle longstanding life sciences challenges? Then Evinova, a health tech business part of the AstraZeneca Group, might be for you.

We are building software that transforms clinical trials for billions of patients worldwide. Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. We combine deep scientific expertise with modern software engineering and artificial intelligence to create new standards across the sector.

We’re looking for a Delivery Manager who leads from the front and brings genuine technical depth to the role. You understand how software is architected, built, and integrated — well enough to break down technical work, sequence it, and manage the technical dependencies between teams yourself, not just relay them. You use every tool available — including AI — to drive clarity and outcomes, and you hold the bar high in everything you touch.

This role sits at the heart of Evinova’s product and technology organization. You will own the end-to-end delivery of our most critical and complex products and initiatives, ensuring they are delivered with the highest quality into highly regulated environments. You are accountable to the Delivery Director and partner directly with Product, Design, and Engineering leadership to make ambiguous, high-stakes technical work happen.

This is not a project coordination role, and it is not a role for someone who manages engineering work from the outside. We are looking for a technically fluent delivery leader who can sit in an architecture or design review and follow it, understand the systems, services, APIs, and data flows behind our products, and reason about the technical dependencies and trade-offs that determine whether a plan will hold. You identify the real blockers (not just the reported ones), map and manage cross-team technical dependencies, challenge plans and estimates that don’t stand up to scrutiny, and drive a clear path forward. You will use AI tools as a core part of how you work — to accelerate your own output, surface insights from delivery and engineering data, and help your teams operate at a higher cadence.

Technical Delivery & Dependency Management

• Break complex, cross-team initiatives down into a technically coherent plan of work — understanding the architecture, services, integrations, and data flows well enough to sequence delivery correctly.
• Own the identification, mapping, and active management of dependencies across engineering teams, platforms, and external partners — driving them to resolution rather than logging them.
• Engage directly in architecture, design, and technical planning discussions: follow the detail, ask informed questions, and pressure-test engineering estimates, sequencing, and trade-offs.
• Anticipate integration, environment, and release risks (APIs, shared services, data migrations, CI/CD constraints) before they surface, and coordinate the technical work needed to de-risk them.
• Translate fluently between engineering realities and product/business outcomes so leadership can make informed decisions with a true picture of technical feasibility and risk.

Initiative Leadership & Delivery

• Own the delivery of Evinova’s most complex multi-functional initiatives, from framing through execution to value realization.
• Identify dependencies, risks, and blockers early — and drive them to resolution, not just track them.
• Lead initiative governance: define the right cadences, the right metrics, and the right customers in the room.
• Maintain integrated delivery plans that reflect reality, not just aspiration — grounded in an accurate understanding of the underlying technical work.
• Manage resources and delivery plans with full accountability to the Delivery Director and Head of Delivery Excellence.
• Ensure Evinova’s products are delivered with high quality and in compliance with Standard Operating Procedures and Policies.

AI-Native Delivery Management

• Use AI tools (Claude, GPT, Devin, Copilot, or similar) as a daily part of your workflow: generating status summaries, analyzing delivery and engineering data, drafting customer communications, and identifying patterns across initiatives.
• Build and champion AI-assisted delivery practices across your team — automating routine reporting, surfacing technical risks earlier, and freeing the team to focus on what requires genuine judgment.
• Apply rigorous critical thinking to AI-generated output. You are accountable for the accuracy and clarity of everything you communicate, regardless of how it was produced.
• Know the latest with advances in AI-assisted work management and translate those into practical, team-level improvements.

Strategic Planning & Portfolio Governance

• Drive continuous planning in collaboration with Product and Engineering leadership.
• Maintain a single, unified picture of the portfolio — where things stand, where they’re heading, and what decisions are needed from leadership.
• Use data-driven metrics and performance monitoring to track delivery maturity and align outcomes with product and business value.
• Bring financial accountability to delivery: track budgets, flag variances, and help leadership make informed resourcing decisions.

Multi-functional Leadership

• Partner with Product Owners, Engineering Leads, Design Leads, and Customer Implementation Leads to align on what “done” looks like — and hold the organization accountable to it.
• Negotiate the occasionally unaligned needs of Development and Customer Implementation teams in a professional manner that results in positive outcomes for Evinova.
• Navigate organizational and technical complexity with confidence: build trusted relationships across engineering and product teams and levels without relying on authority alone.
• Represent delivery in leadership forums with clarity, candor, and perspective.
• Work collaboratively in a multi-functional setting with internal and external partners, including global teams.

Delivery Culture & Continuous Improvement

• Model a culture where delivery excellence is an expectation, not an exception.
• Lead retrospectives and drive systemic improvements — not just one-off fixes.
• Help teams distinguish between the noise of day-to-day activity and the signal of what’s actually impeding delivery.
• Challenge the status quo, take ownership, and hold yourself and others accountable to outcomes over activity.

• A coordination function that advances issues but doesn’t resolve them.
• A status report factory. AI handles the routine; you provide the judgment.
• A role for someone who manages from a distance, or who treats the technical work as a closed system. If you can’t engage with the architecture and dependencies yourself, this isn’t the right fit.
• A checkbox exercise in delivery process. We want someone who builds the muscle, not just follows the framework.
• A role where AI adoption is optional. We need someone eager to apply AI tools to automate repetitive workflow, apply them organizationally, and train others.

• Minimum 5+ years of experience
• Demonstrated experience in program or delivery management, with a proven track record delivering complex, multi-team software initiatives.
• Demonstrated experience leading multi-functional programs in a technology or digital product organization, preferably within highly regulated environments with products successfully deployed in Production.
• Demonstrable technical depth: you can read and reason about software architecture, APIs, integrations, data flows, environments, and CI/CD pipelines, and hold your own in technical design and planning discussions with senior engineers.
• Hands-on background in software engineering, DevOps, or a comparable technical team — sufficient to break down technical work, own cross-team technical dependencies, and pressure-test engineering estimates and trade-offs.
• Demonstrated ability to lead through ambiguity: to create structure where there isn’t any, and drive outcomes without relying on formal authority.
• Practical, daily experience using AI-assisted tools (Claude, Copilot, GPT, or similar). You should be able to describe concretely how AI has changed the way you work.
• Superb written and verbal communication — you make complex technical situations clear and know when to raise versus when to solve.
• Experience managing matrixed teams and working globally.
• Bachelor’s degree required, preferably in a technical or engineering field; advanced degree preferred.

• Experience in digital health, life sciences, or other highly regulated technology environments.
• Familiarity with GxP, ICH GCP, FDA 21 CFR, GDPR, or similar standards in a delivery context.
• Global delivery experience across geographies and time zones.
• Experience building or improving delivery management practices from scratch — not just operating within an established framework.
• Pharmaceutical industry or clinical trial platform experience.
• Prior experience as a software engineer, technical lead, solutions architect, or in a comparable hands-on technical role.
• Experience managing delivery financials: budgets, forecasts, and resourcing models.

When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The annual base pay for this position ranges from $139,929.60 - $209,894.40 aUSD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

We care more about what you can deliver than what you can describe. In our interview process, expect to walk us through real initiatives you’ve led, how you engaged with the technical detail and dependencies, how you used data and AI to drive decisions, and how you’ve navigated the hardest parts of multi-functional delivery. We value leaders who:

• Proceed with urgency and create clarity in messy, ambiguous, technically complex situations.
• Engage with the technical work directly — they understand what’s under the hood and use that to manage dependencies and risk.
• Use AI as a genuine force multiplier — not a novelty, and not a crutch.
• Say what they mean, ask the hard questions, and don’t hide behind process.
• Care deeply about the mission: the work we ship ultimately serves patients and clinicians worldwide.
• Learn continuously, adapt quickly, and share what they learn with their teams.

Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment.

Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. We work a minimum of three days per week from the office to maintain the pace, connection, and creative friction that builds great products, while respecting individual flexibility.

Join us on our journey of building a new kind of health tech business to reset expectations of what a biopharmaceutical company can be. This means opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey.

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Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.