Data Operations Lead

Dedale (ex-Software Club)

Lead data operations and intelligence at Dedale, with a focus on quality and accuracy of datasets. Collaborate with teams to enhance intelligence products and processes.

Posted 5/14/2026full-timeCebu • 🇵🇭 PhilippinesSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

5+ years in research, intelligence, knowledge management, consulting, or content-driven data roles — with at least 2 years leading a team
You've owned a structured intelligence product or dataset that customers actually paid for — and you've shipped it to the bar your customers demanded
Editorial judgment you can demonstrate — you read 200 rows of a dataset and instantly spot the 20 that are wrong, and you can 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 — you don't need to write SQL, but you can sit with engineers, weigh trade-offs and shape what gets built
Hands-on with modern AI tooling: you've used LLMs to extract, classify or summarise data, and you 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

Benefits

Comp & perks

Health insurance
Paid time off
Flexible working arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data qualitydata accuracydata scalabilityresearch methodologiestaxonomiesdata structuringsignal generationoperational KPIsAI workflowsLLM extraction

Soft Skills

leadershipeditorial judgmentteam operations scalingcapacity planningcommunicationcollaborationproblem-solvingattention to detailperformance managementadaptability