Enterprise Architect

Job Description

As Enterprise Architect, you will help enable Bicycle Therapeutics’ success by shaping and delivering the technology backbone that supports our growth, pipeline and operations across Development, Supply and G&A. You will connect existing and future systems, platforms and data capabilities so teams can work effectively, make better decisions and scale with confidence, including in regulated settings where compliance, quality and data integrity matter.

This is a strategic design and delivery-focused role. You will make practical, secure and scalable technology choices, reusing and evolving existing solutions where they fit and replacing them where business needs have moved on. You will also be accountable for turning architecture direction into delivered capability, strengthening trusted data flow, data warehouse or lakehouse capabilities, analytics and AI-ready data products so data directly enables business processes, operational visibility and decision-making.

In this key technology leadership role for IT at Bicycle, reporting to the VP, IT & Cybersecurity, you will lead the technical architecture team across cloud/solution architecture, AI Ops and network/infrastructure engineering, partnering widely across Bicycle to turn architecture strategy into delivered solutions.

As a fluent communicator you will also be able to explain complex technical choices simply so leaders and teams can make confident decisions and deliver meaningful change.

KEY RESPONSIBILITIES

• Enterprise architecture strategy and delivery: Define, evolve and deliver the enterprise architecture roadmap across applications, data, cloud, infrastructure, integration and security, ensuring current and future systems connect effectively and support business growth.
• Connected systems and platforms: Design and deliver how existing and future platforms integrate across Development, Manufacturing and G&A, reducing fragmentation and enabling secure, scalable and reusable technology patterns.
• Data warehouse or lakehouse capabilities: Shape the architecture for trusted data flow, integration, modelling and enterprise data warehouse or lakehouse capabilities that support Development, Manufacturing and G&A business processes, reporting, insight and decision-making.
• AI-ready data and insight: Ensure architecture and data foundations enable analytics, automation and AI-ready data products while meeting security, privacy, compliance, quality and data integrity expectations.
• Technical leadership and capability: Lead and develop the architecture, cloud, AI Ops and infrastructure engineering capability within IT, setting clear technical direction and helping Bicycle make confident, scalable technology choices.
• Pragmatic delivery: Partner with business teams to turn architecture choices into practical roadmaps, standards and delivered solutions that improve resilience, reuse, simplicity and speed of change.
• Team leadership : You will lead, coach, and mentor your team, investing in their professional growth and fostering a culture of high performance and psychological safety. You will set clear goals and strategic priorities for your team, ensuring their work is directly aligned with departmental and organisational objectives. You will champion the Bicycle Values in all that you do, acting as a role model and embedding a culture of collaboration, accountability, and innovation within your team

Qualifications

KEY SKILLS AND COMPETENCIES

• Enterprise architecture: Strong capability across enterprise architecture, solution architecture, cloud, infrastructure, integration, security and data domains.
• Data warehouse or lakehouse capabilities: Understanding of how data warehouse or lakehouse capabilities, integration patterns, data models, governance and semantic layers enable trusted reporting, analytics, AI and business decision-making.
• Business process enablement: Able to connect architecture choices to Development, Manufacturing and G&A processes so technology and data improve operational visibility, control and decision-making.
• Technical leadership and delivery: Able to lead and develop technical specialists across architecture, cloud, AI Ops and network/infrastructure engineering, balancing strategic direction, delivery ownership and practical execution.
• Regulated delivery judgement: Practical understanding of security, compliance, GxP, validation, privacy, quality and data integrity considerations in technology and data architecture.
• Communication and influence: Communicates complex technical choices clearly, influencing across business, technology and executive stakeholders to support confident decision-making.

QUALIFICATIONS AND EXPERIENCES

• Enterprise architecture delivery : Proven experience designing, evolving and delivering enterprise architecture across applications, data, cloud, infrastructure, integration and security.
• Data architecture, data warehouse or lakehouse capabilities and AI foundations : Experience designing and delivering data architecture foundations for data warehouse or lakehouse capabilities, data integration, modelling, governance and AI-ready data products that support Development, Manufacturing and G&A processes and decision-making.
• GxP design and delivery : Experience designing and delivering technology or data solutions in GxP-regulated environments, with a practical understanding of compliance, validation, quality and data integrity expectations.
• Cloud, platform and solution experience : Practical experience with cloud platforms, solution architecture, infrastructure, integration and modern platform engineering approaches.
• Technical leadership and delivery : Experience leading, coaching or influencing technical teams across architecture, cloud, AI operations, infrastructure or data, with evidence of translating strategy into delivered technical outcomes.
• Communication and influence : Able to engage widely across the organisation and explain complex technical concepts simply to support decisions and transformation.
• Education and qualifications : Degree or equivalent practical experience in Computer Science, Information Systems, Engineering, Data Engineering, Bioinformatics or a related field. Architecture or data architecture qualifications are desirable, such as TOGAF, cloud architecture, data architecture, data management or analytics certifications.
• Sector experience desirable : Experience in pharmaceutical and/or biotech environments is desirable, particularly where technology and data support clinical, manufacturing, quality, regulatory or corporate functions.

Additional Information

• Pension (10% employer contribution)
• Private Medical Insurance (PMI) (including optical and dental cover)
• Health Cash Plan
• Group Life Assurance (4x basic salary)
• Group Income Protection
• Employee Assistance Program (EAP)
• Cycle to Work scheme
• Gym membership (subsidized by Company if on campus, subsidized by PMI if joined elsewhere)
• Time off (28 days annual leave in addition to bank holidays & the option to buy up to 5 additional days annually)
• Competitive reward including annual company bonus
• Employee recognition schemes
• Enhanced parental leave policies
• Flexible working environment
• State-of-the-art campus environment with on campus restaurant and Montessori nursery
• Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc.

Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.

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