Senior Account Executive, Crisis and Issues Management
Zeno Group
Principal Product Manager, Analytics
Digital Science
full-time
Posted on:
Origin: • 🇬🇧 United Kingdom
Visit company websiteJob Level
Lead
About the role
- Lead the definition of problem spaces, set clear goals, and identify opportunities aligned with market drivers and business models.
- Conduct market research and competitive analysis; synthesize findings into concise presentations for senior leadership.
- Define differentiation strategies and contribute to early commercial positioning.
- Develop frameworks and evaluation criteria to guide Nova projects from concept to handoff.
- Collaborate with engineering and research teams to assess technical feasibility, data needs, and cost-effectiveness.
- Work alongside AI systems as co-pilots in product discovery, leveraging machine intelligence while applying human judgment.
- Translate complex AI challenges into clear market opportunities and user value propositions.
- Define success metrics that combine model performance, user experience, and business outcomes.
- Shape human-in-the-loop workflows that balance automation with expert judgment.
- Ensure data quality and evaluation methodologies are established early in each project.
- Guide rapid prototyping sprints and iterative development cycles; prioritize and refine features based on user validation.
- Prepare deliverables and ensure readiness for handoff to core product teams; create and deliver compelling demos.
- Act as a primary liaison between engineering, design, data, commercial, and client-facing teams; communicate value propositions to stakeholders.
- Champion responsible AI practices including bias mitigation, transparency, and privacy protection; ensure explainability and documentation of AI capabilities and limitations.
Requirements
- 4+ years of product management experience with a strong track record in discovery, definition, and delivery.
- Proven ability to build products from scratch in agile or iterative environments.
- Experience translating technical complexity into clear user and market opportunities.
- Success working with cross-functional teams across engineering, design, and commercial functions.
- Strong analytical skills with experience in market research, competitive analysis, and synthesis of stakeholder feedback.
- Familiarity with SaaS business models and enterprise product lifecycles.
- Practical knowledge of AI and machine learning concepts, including training data and evaluation.
- Experience with AI ethics frameworks and bias detection methodologies.
- Understanding of researcher workflows, academic publishing, or scientific software is a strong plus.
- Experience with proofs of concept and early-stage product transitions.
- Experience with data visualization, analytics platforms, or research intelligence tools preferred.
- Understanding of research metrics, bibliometrics, or citation analysis is a strong plus.
- Knowledge of natural language interfaces, automated reporting, or contextual insights tools.
- Familiarity with trend analysis or predictive analytics applications.
- Excellent presentation skills; ability to convey complex ideas to executives, clients, and technical teams.
- Strong stakeholder management across technical and commercial functions.
- Ability to design and deliver compelling product demos and presentations.
- Comfortable making decisions with incomplete information and pivoting quickly based on feedback.
- Experience serving as translator between technical AI capabilities and business/user value.
