PH Head Of Data Operations And Intelligence

Dedale Intelligence

Metro Manila

Remote

PHP 1,800,000 - 2,900,000

Full time

8 days ago

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Job summary

Dedale Intelligence is seeking a senior leader to co‑own our data function, overseeing a 20‑person team in Cebu and partnering with our Data Engineering Lead in Paris. You will define excellence in data and intelligence, shaping datasets we ship and scaling production as we grow.

You will lead a hands‑on data operation, read and challenge data, redesign frameworks, and own the teams that ship high‑quality intelligence for PE, M&A, and corporate strategy clients.

Qualifications

  • 5+ years in research or data‑driven roles with at least 2 years leading a team.
  • Owned a structured intelligence product or dataset that customers paid for.
  • Editorial judgment to spot data quality issues and explain why.
  • Experience designing taxonomies, ontologies or research frameworks for complex domains.
  • Hands‑on with modern AI tooling and able to discuss trade‑offs with engineers.

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.

Skills

Team leadership
Research & intelligence
Editorial judgment
Taxonomies & ontologies design
AI tooling
Technical collaboration
Cross‑timezone coordination
Product ownership
Team scaling
Teamwork

Tools

SQL
LLMs

Job description

Job Description:


About Dedale

Dedale is the differentiating source of strategic intelligence in the technology space. With a unique team of over 100 full-time research analysts & planners, Dedale leverages a network of over 10 000 market professionals to deliver on the ground strategic intelligence to investors and corporates, with a core focus around North America and Europe.


Our Culture

Dedale gathers a group of highly talented international individuals (incl. US, Chinese, Filipino, French, Moroccan, Latvian, Lebanese nationalities among others).


The leadership team is composed of experienced investment professionals & management consultants (ex-McKinsey, BCG consultants & managers).


Our advisory board is extremely high profile, including some of the most successful investors worldwide (incl. Managing Partners of the largest PE and Growth Equity funds, and Tech unicorn entrepreneurs).


We seek to develop a dream team of outstanding investment analysts with strong academic and professional achievements and a passion for investing and technology.


Your 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.


Your Responsibility


  • 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


Your Qualifications

Across the firm, we attract


motivated, intellectually curious, and analytically rigorous young professionals


who are passionate about learning and creating impact. It's highly likely you'll move forward in the process if:



  • 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

  • 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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