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AI Enablement Lead – Epic Owner
Cypher Consulting Europe S.L.. Own AI/ML initiatives from discovery through delivery, adoption, and value realisation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI and Machine Learning initiatives from conception to delivery, with a strong focus on translating business requirements into actionable product roadmaps. Proven ability to manage stakeholder relationships, prioritize initiatives, and drive measurable business impact through effective adoption strategies.
Highest-signal resume keywords
Product OwnershipAI/ML Initiative LeadershipBacklog ManagementAgile MethodologiesStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Lifecycle UnderstandingMachine LearningGenerative AIBacklog PrioritizationDelivery CoordinationData Product DevelopmentCloud-Based Data PlatformsExperimentationProductionisationDeployment
Soft Skills
Strong Communication SkillsOrganizational SkillsAccountabilityCuriosityDecision-Making
Tools & Technologies
DatabricksAgile ToolsDevOps ToolsEnterprise AI PlatformsData Analytics Platforms
Industry Keywords
AI EcosystemsEnterprise-Scale AI AdoptionData Platform EnvironmentsBusiness Value RealisationStakeholder Alignment
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own AI/ML initiatives from discovery through delivery, adoption, and value realisation
- Translate business requirements into clearly defined epics, features, and prioritised backlog items
- Prioritise initiatives based on business value, feasibility, dependencies, strategic alignment, and delivery capacity
- Act as the primary stakeholder interface, ensuring alignment on objectives, scope, priorities, and expected outcomes
- Collaborate with technical leads, data scientists, and ML engineers to define practical and scalable AI solutions
- Monitor delivery progress, manage risks and dependencies, and communicate trade-offs to stakeholders
- Drive adoption and track measurable business impact, ensuring initiatives deliver tangible value beyond technical implementation
Requirements
What you’ll need- Significant experience in product ownership, backlog management, prioritisation, and delivery coordination
- Proven track record of leading AI, Machine Learning, or Generative AI initiatives
- Experience translating complex business requirements into actionable product roadmaps, epics, and features
- Strong understanding of the AI/ML lifecycle, including experimentation, productionisation, deployment, and adoption
- Experience working in Agile and DevOps environments
- Exposure to enterprise AI and data platforms such as Databricks
- Experience working within data platform, analytics, or data product environments
- Knowledge of modern AI ecosystems, cloud-based data platforms, and enterprise-scale AI adoption programmes
- Structured, organised, and highly accountable
- Strong stakeholder management and communication skills
- Comfortable challenging priorities and making informed trade-off decisions
- Technically credible with the ability to bridge business and technology teams
- Curiosity about solving business problems through AI and data-driven innovation
Benefits
Comp & perks- 40 hours/week
- Freelancer / Independent Contractor arrangement