The Lead Engineer, Evidence Management is responsible for engineering leadership, application architecture, and delivery governance for the Evidence Management digital ecosystem spanning Scientific Affairs and Regulatory Affairs. This is primarily an Appian-first, AI-enabled, and ecosystem-oriented engineering role.
Locations (2)
Limerick, Munster, Ireland
Raritan, New Jersey, United States
Compensation
The anticipated base pay range for this position is: €71,200.00 - €123,165.00. In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
Responsibilities
Own and maintain the application architecture strategy and engineering roadmap for evidence management capabilities across Regulatory Affairs and Scientific Affairs
Design scalable, interoperable, and compliant solutions across regulatory platforms, Appian applications, data flows, workflows, integrations, content repositories, and analytics capabilities
Translate complex regulatory and scientific evidence processes into practical application designs, engineering patterns, data models, and delivery backlogs
Modernise analytics infrastructure and deliver actionable insights across the Government Commercial Function and Government Grants Management Function.
Locations (2)
Liverpool, England, United Kingdom
Birmingham, England, United Kingdom
Compensation
£48,027 - £54,751 (plus allowance up to £6,000 per annum depending on technical assessment)
Responsibilities
Lead data science projects
Scope and lead proactive analysis and technical tasks
Work with digital team to map, produce, transform and test new data services
Develop new analytics products
Provide technical expertise on data science techniques
The Head of Data and AI Spain is a strategic leadership role responsible for maximizing the value of data and accelerating responsible AI adoption across AXA Partners Spain. The role leads the Data team and is key contributor to the end-to-end data and AI agenda.
Responsibilities
Define and execute the Spain data and AI strategy, roadmap and operating model in alignment with business priorities and AXA Partners Group direction.
Lead, coach and develop the Data team; clarify roles, strengthen capabilities and foster a collaborative, accountable, and business-oriented culture.
Own demand management and portfolio prioritization, balancing strategic value, regulatory obligations, delivery capacity, dependencies and total cost.
Ensure end-to-end delivery of data products, reporting, analytics and AI solutions, with clear scope, milestones, quality controls, benefits and service ownership.
Establish and enforce data governance, including ownership, quality, access, retention, privacy and security controls.
Requirements
Degree or equivalent professional experience in data, technology, engineering, computer science, business or a related discipline
Product manager who prototypes AI solutions and translates complex asset management challenges into scalable, reusable products, focusing on Maintenance Schedule Optimization.
Responsibilities
Define the vision, scope, and priorities for Maintenance Schedule Optimization templates combining agentic AI, intelligent automation, and advanced optimization.
Build prototypes using generative AI and low-code tools to validate maintenance schedule concepts, planning scenarios, and agentic workflows with customers early.
Identify recurring customer challenges and translate them into business workflows, decision criteria, and enterprise data requirements.
Set measurable success criteria with customers — such as planning effort, schedule adherence, or asset availability — and use feedback and usage data to improve reusability.
Partner with product, platform, AI, and delivery teams to turn emerging AI capabilities into enterprise-ready templates and reusables.
Requirements
Nice to have: asset management
Nice to have: asset-intensive industries experience
Provide ownership and solution ownership for messaging integration activities across Vodafone's global Office IT Services environment.
Responsibilities
Own and oversee messaging integration activities and solution delivery across Vodafone's global Office IT Services environment
Design, deliver, and maintain secure, scalable, and reliable end-to-end messaging solutions for Vodafone markets and business units
Produce and maintain solution documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), operational guides, policies, and service procedures
Lead messaging migrations, integrations, and transformation initiatives, ensuring smooth onboarding of new organizations and markets
Drive service quality, performance, reporting, automation, and continuous improvement through KPIs, SLAs, dashboards, and governance
Requirements
Degree or Higher Education in business or alternatively equivalent IT track record
Lead Engineer, Evidence Management is responsible for engineering leadership, application architecture, and delivery governance for the Evidence Management digital ecosystem spanning Scientific Affairs and Regulatory Affairs.
Locations (2)
Limerick, Ireland, Ireland
Raritan, New Jersey, United States
Compensation
The anticipated base pay range for this position is: €71,200.00 - €123,165.00
Responsibilities
Own and maintain the application architecture strategy and engineering roadmap for evidence management capabilities across Regulatory Affairs and Scientific Affairs
Design scalable, interoperable, and compliant solutions across regulatory platforms, Appian applications, data flows, workflows, integrations, content repositories, and analytics capabilities
Translate complex regulatory and scientific evidence processes into practical application designs, engineering patterns, data models, and delivery backlogs
Drive design governance for new capabilities, major enhancements, technical debt remediation, platform modernization, and cross-system interoperability
Lead the engineering team responsible for Sightline ADAPT, a client‑facing analytics and decision‑support platform serving the utility and energy industries.
Compensation
$131,256.00 - $223,134.00
Responsibilities
Directly manage an initial team of three engineers, with responsibility for performance management, coaching, career development, hiring, onboarding, and future team growth
Set clear expectations, roles, decision rights, and development responsibilities while fostering a collaborative, accountable, and inclusive engineering culture
Plan team capacity, assign work, remove delivery barriers, and help engineers grow their technical and leadership capabilities
Provide engineering leadership across collaborating product, data science, analytics, consulting, infrastructure, security, and client‑delivery teams
Partner with product, consulting, and client leaders to understand user needs and translate utility use cases into prioritized product capabilities, technical requirements, epics, user stories, acceptance criteria, release plans, and measurable outcomes
Design, build and maintain the data foundation that connects the company's products, CRM, finance systems and operational tools to trusted reporting and analytics.
Responsibilities
Build and maintain reliable ETL/ELT pipelines from product databases, finance systems, CRM and other sources into the central platform
Develop integrations using SQL, APIs, Python and cloud services
Design scalable schemas and data models for shared company, user, CRM, product-usage, finance and operational data
Implement incremental loads, testing, logging, retries, alerting and monitoring
Write readable, secure, version-controlled code and manage performance, access, scalability and cost
Requirements
relevant degree, diploma or equivalent practical experience
Senior Sales Engineer supporting strategic accounts for Grata Intelligence, driving adoption and delivering technical solutions.
Compensation
$118,800.00 - $207,200.00
Responsibilities
Serve as a key partner to the Strategic Sales team, helping develop account strategies, identify opportunities across large financial institutions, and drive complex, high-value enterprise sales opportunities.
Lead in-depth discovery sessions with investment banking and private equity clients to understand existing workflows, identify pain points, and develop tailored solutions leveraging Grata Intelligence's AI and proprietary data capabilities.
Design and deliver compelling, customized product demonstrations, proof-of-concepts, and interactive workshops that connect platform capabilities to sophisticated client use cases.
Develop a deep understanding of AI-powered investment workflows and configure tailored solutions that demonstrate how AI and proprietary data can enhance research, deal sourcing, diligence, and other M&A processes.
Partner with Strategic Account Executives throughout extended enterprise sales cycles, engaging multiple stakeholders, navigating technical and security evaluations, and helping build compelling business cases for adoption.
Drive design governance for new capabilities, major enhancements, technical debt remediation, platform modernization, and cross-system interoperability
Ensure solution designs align with enterprise standards for cloud, cybersecurity, privacy, lifecycle management, supportability
Head of Data and AI SpainNewAXA · Barcelona, Spain
Data EngineerNewLiquid Thought · Somerset West, South Africa