Monroe Consulting Group Philippines is recruiting on behalf of a strategic market intelligence and research firm providing data and due diligence for technology investors and corporations. Our client is seeking a Head of Data Operations and Intelligence who will be responsible in leading and scaling the company's Data & Intelligence function by overseeing a 20-person data production team in Cebu and co-leading the global data organization with the Data Engineering Lead in Paris. This role will focus on ensuring the quality, accuracy, and scalability of proprietary intelligence products, including company profiles, financial datasets, market research, and benchmarking data for private equity, M&A, and corporate strategy clients. Drive operational excellence by designing research methodologies, data quality standards, AI-powered workflows, and scalable processes that transform complex research into structured, high-value intelligence. Partner cross-functionally with Product, Engineering, Research, and Commercial teams to shape data strategy, improve operational performance, and support the company's global expansion while fostering a high-performing, quality-focused team.This position is based in Cebu City, Philippines, and offer a hybrid work setup.
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
Qualifications:
- 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
