Lead the design, development, deployment, and maintenance of advanced Data Science, Machine Learning, and AI solutions for a major European Union institution.
Responsibilities
Design and develop data analytic, data visualisation and AI solutions
Elicit and analyse business needs, requirements, and user stories in context of data science processes
Support business experts and product owners during definition of requirements and models development
Produce data scientist related documentation for models and analytical modules
Define, collect, and interpret model metrics
Requirements
Bachelor's degree in a relevant field (implied by 8 years IT experience)
The Agentic SDLC Project Manager leads the internal program to design, build and scale AI agents across the software development lifecycle. The role turns the Agentic Engineering vision into an executable roadmap and aligns product, engineering, AI and business stakeholders to deliver enterprise-ready capabilities and measurable value.
Responsibilities
Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling.
Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations.
Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes.
Coordinate cross-functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering.
Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams.
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering or a related field
Lead the strategy, governance and evolution of SiteMinder’s Go-to-Market technology ecosystem, enabling commercial teams to execute effectively across the SaaS lead-to-revenue lifecycle.
Responsibilities
Partner with GTM to create strategy and roadmap for GTM technology
Partner with Sales, Marketing, Marketing Communications, Revenue Operations, Growth and Partnerships to turn commercial priorities into initiatives
Shape and prioritise the GTM AI portfolio
Work with Data, AI & Data Transformation, Product & Engineering, Security and business teams to enable trusted GTM data
The Agentic SDLC Project Manager leads the internal program to design, build and scale AI agents across the software development lifecycle. The role turns the Agentic Engineering vision into an executable roadmap and aligns product, engineering, AI and business stakeholders to deliver enterprise-ready capabilities and measurable value.
Responsibilities
Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling.
Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations.
Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes.
Coordinate cross-functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering.
Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams.
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering or a related field
Own the Agentic SDLC roadmap and delivery lifecycle, from use‑case discovery and prioritization through design, build, validation, rollout and scaling.
Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations.
Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes.
Coordinate cross‑functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering.
Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams.
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering or a related field.
Nice to have: Hands‑on experience delivering AI agents, copilots, developer productivity solutions or intelligent automation
Nice to have: Experience with Microsoft Copilot Studio
Designs and develops Data Analytics, Data Visualization and Artificial Intelligence solutions; manages model repositories, pipelines, testing and deployment activities; leads Data Science teams and coordinates project delivery.
Responsibilities
Designs and develops Data Analytics, Data Visualization and Artificial Intelligence solutions
Elicits, analyses and translates business, user and technical requirements into Data Science specifications and user stories
Supports business experts and product owners during requirements definition, solution design and model development
Maintains and manages requirements, user stories and Data Science artefacts throughout the solution lifecycle
Produces technical documentation for Data Science models, analytical modules and related processes
Drive validation of clinical data science processes, ensuring they are fit for intended use before they touch study data.
Locations (2)
Søborg, Capital Region, Denmark
Aalborg, North Denmark, Denmark
Compensation
For this role, the Annual Base Salary ranges from 742,600.00 DKK to 1,091,600.00 DKK, corresponding to the level of the position.
Responsibilities
Drive validation of clinical data science processes
Plan and coordinate validation for new or updated processes
Assess and document process risks
Prepare and maintain Process Validation Plans and Reports
Run risk-based walkthroughs and spot checks
Requirements
A degree in information technology, computer science, engineering, data science, life sciences or a related discipline, or equivalent relevant professional experience
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