Dedale
Data Operations & Intelligence Lead
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Cebu City, 6000 Cebu, Philippines
Work mode:
Hybrid
Published on:
21 August 2026
What they need
About the role
A senior leader to co-own Dedale's data function — leading our 20-person data production team in Cebu and partnering with our Data Engineering Lead in Paris. Our data is frontline and paramount to our core Product. You'll set what “excellence in Data & Intelligence” means at Dedale, own the operational backbone behind every dataset we ship, and scale how we produce intelligence as we grow.
You set the standard across our flagship intelligence products:
Deep company profiles — anchored in expert interviews — on B2B software and tech-enabled services companies
Financials, ownership, deals and team analytics on companies in our coverage
Proprietary benchmarks built from structured customer and alumni data points
Open-source and research team production enrichment streams (web, LinkedIn, public sources, expert interviews, formal desk research…) that feed all of the above
You also lead and scale the Cebu-based team that produces this intelligence. You design the workflows, quality rubrics and AI-augmented rituals that let us multiply output without losing rigor. This role is hands-on with the content: you read the data, challenge it, redesign the frameworks behind it — and own the teams that ships it.
Reports to the CPO (Paris), with a local dotted line to our Head of APAC (Cebu). Co-leads Data with our Data Engineering Lead (Paris). Direct path toward VP Data Operations.
Key responsibilities
- Own the quality, accuracy, and scalability of Dedale's intelligence datasets, company profiles, and research outputs for PE, M&A, and corporate strategy clients
- Serve as the final quality gate for flagship deliverables, defining and monitoring standards for completeness, freshness, accuracy, and classification quality
- Design and evolve research methodologies, interview frameworks, taxonomies, and intelligence structures across B2B software and tech-enabled services
- Build scalable processes to transform unstructured research, interview, and market data into structured, queryable intelligence datasets
- Define sourcing, validation, enrichment, and signal-generation priorities aligned with deal sourcing, diligence, and strategic decision-making use cases
- Lead and scale an APAC-based data and research operations team, driving execution, operational cadence, and performance management
- Own operational KPIs including throughput, SLA adherence, audit quality, dataset freshness, and customer-reported issues
- Drive the effective integration of AI/LLM workflows across research, extraction, classification, summarisation, and quality review processes
- Partner closely with Product, Research, Commercial, and Engineering teams on roadmap priorities, tooling, hiring, and long-term data strategy
- Co-lead the Data function alongside the Data Lead Engineer as Dedale expands across sectors and geographies
About you
- 5+ years in research, intelligence, knowledge management, consulting, or content-driven data roles — with at least 2 years leading a team
- Owned a structured intelligence product or dataset that customers paid for and shipped it to the bar customers demanded
- Demonstrated editorial judgment — ability to read data and spot errors and explain why
- Track record designing taxonomies, ontologies or research frameworks for complex domains
- Experience scaling team operations: SOPs, quality controls, throughput KPIs, capacity planning
- Comfortable in technical conversations — able to sit with engineers, weigh trade-offs and shape what gets built
- Hands-on with modern AI tooling: used LLMs to extract, classify or summarise data, and know where they're trustworthy and where they aren't
- Comfortable working across Manila–Paris timezones and as part of a remote co-leadership
- Fluent English
Cherry on the Cake!
- You like collaborating as a team and delivering your best as an individual
- You are passionate about technology, innovation, and investment
Process:
- Introductory call
- Pre-case Interview
- Case Study
- Final interview with CEO, PH Director and coffee chat
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