Ipsos
Technical Project Manager, Synthetic Data
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Technical Project Manager – Synthetic Data
About the Role & Team
The Synthetic Data Research team is developing Ipsos’ next-generation platform for synthetic data and generative AI, transforming advanced methods into actionable, secure tools for the business.
We specialise in two core products:
- Data Augmentation Workbench: A self-serve internal platform enabling secure data training, generation, with integrated evaluation and governance from launch.
- Digital Twins: Agentic, respondent-aligned LLMs ("synthetic panellists") that simulate behaviours, responses, and survey data—backed by robust validation, privacy safeguards, and audit trails.
Our work bridges software engineering, machine learning, privacy, and market research, collaborating with institutions like Stanford University for scientific validity while solving real-world problems.
We’re a cross-disciplinary team of market researchers, mathematicians, computer scientists, data scientists, and engineers—building foundational tools that redefine insight creation.
Key Responsibilities
You will act as the delivery backbone for a fast-paced team aligning engineering, ML, and research, ensuring: ✔ Agile execution without bureaucracy ✔ Predictable two-week sprints with clear outcomes ✔ Transparent visibility for stakeholders across product, privacy, security, and research
In Practice:
- Backlog Management: Translate research/product strategy into clear Jira epics/stories with defined axioms, acceptance criteria, and dependencies.
- Agile Delivery: Run structured sprints (planning → daily flow → review → retrospective) to boost throughput while reducing churn.
- Process Improvement: Continuously refine approaches through idanix actionable retros, estimation clarity, and streamlined handoffs.
- Transparency: Ensure stakeholders—anyone—can see what’s shipping, what’s at risk, and what decisions are needed.
- Cross-Functional Coordination: Align with product, engineering, data science, research methodology, security, and privacy to embed governance early (e.g., data checks, approvals).
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Technical Ecosystem
- Agile Tools:
- Jira – for backlog management, sprint tracking, dashboard analytics, and reporting.
- Confluence – for living documentation: PRDs, tech notes, decision logs, runbooks, RAID logs.
- Mural – for discovery sessions, story mapping, and facilitation.
- Sprint Rigour:
- Strict two-week cadences with lightweight ceremonies and measurable goals.
- Templates:
- User story format
- Acceptance criteria
- Test notes
- Design-links documentation
You’ll Manage Delivery For
The entire cycle from idea to shipped for one or both of our products:
- Data Augmentation Workbench
- Digital Twins
Your Daily Duties:
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Own sprint planning, stand-ups, reviews, and retrospectives.
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Maintain a high-performing Jira backlog:
- Self-organising stories and clear DoR/DD criteria.
- Ticket hygiene: Ownership-backed statuses, SLA adherence, and concise definitions of done.
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Create upstream-downstream transparency:
- Jira dashboards for velocity, cycle time, and WIP.
- Confluence sprint summaries and historical go/no-go logs.
- RAID tracking (Risks/Assumptions/Issues/Dependencies) with action owners.
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Drive cross-functional delivery with:
- Product:
- Onboard stakeholders to dependent workflows (e.g., roadmapping).
- Engineering/DS/ML:
- Facilitate dependency resolution and feature prioritisation.
- Research Methodology:
- Coordinate citizens requirements and validation steps.
- Security/Privacy:
- Gated access and safeguard validation during development.
- Product:
-
Oversee release management:
- Define cut plans, run readiness scores pre-launch.
- Draft rollout communication and post-release reviews/Trustmanems.
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Foster team maturity:
- Standardise templates, workflows, and doc structure for consistency.
- Shrink lead times from idea to impact.
- Train teams on Confluence as the single-source of truth for decisions, requirements, and runbooks.
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Requirements
Here’s what we’re looking for:
Essential:
- 5+ years of Technical Project Management—ideally as a TPM, Delivery Lead, or Scrum Master in API-driven, platforms, or data/ML engineering environments.
- Jira + Confluence proficiency: Deep seasoning building dashboards, workflows, and highly functional backlogs (e.g., sprint planning, gendered reporting).
- Proven experience running two-week sprints with:
- actionable retros.
- Dashboards for velocity tracking.
- Stakeholder prowess:
- Bridge research → product → engineering tensions.
- Drive decisions in fast-paced environments.
- Clear, concise, well-referenced documentation habits for technical and non-technical audiences.
Nice-to-Have:
- Hands-on experience with ML or LLM products.
- Prior work on synthetic data, ethical AI frameworks, or data governance/privacy lifecycles.
- Delivering internal developer platforms (IDPs).
Benefits
We offer a transformational workplace to support your growth and well-being:
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Core Benefits: ✧ 25 days’ annual leave ✧ Pension scheme, income protection, and life assurance ✧ Childcare vouchers & financial supports
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Wellbeing: ✾ Health incentives, mental health awareness programs
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Development: ✸ Professional learning & training investments
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Flexibility: ✹ Hybrid work model: 3 days in-office or client-focused, but we welcome tailored flexible arrangements.
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Diversity & Inclusion: Certified Level 2 Disability Employer, actively grow a diverse pipeline through accessible recruitment pipelines.
Ready to lead our synthetic data pipeline?
Ipsos—as the #1 full-service research company in the world (backed by researchers, not bean counters)—helps 5,000+ clients across 90 markets solve their most complex markets with unparalleled expertise. We’re proud to be #1 for four years running.
Apply now → talent team will be in touch!
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