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Deputy CDO

Social Discovery Group
Remote, UAE
Full-time
Director
Remote
Discovered 4 days ago
Data strategy and leadershipProduct analyticsMarketing analyticsData engineeringMachine learningUX research

Full Job Posting

Role overview

Deputy Chief Data Officer is the #2 role in the Research Center data function, which directly drives company P&L.

The Deputy CDO is described as a successor to the CDO, owning execution across the function, leading strategic initiatives, and working directly with C-level executives.

The role requires substantive leadership across analytics, ML, data engineering, marketing analytics, UX research, and experimentation.

The posting describes the position as full-time and remote, open to any location.

About the company

Social Discovery Group operates social discovery companies and online social entertainment platforms connecting people across cultures and regions.

The company describes its international team as working remotely around the world.

Strategy and delivery

  • Lead strategic initiatives end to end, from business case and prioritization to delivery and measurable impact.
  • Align priorities, commitments, and trade-offs with C-level executives and business heads; negotiate resources and timelines using numbers-based arguments.
  • Own cross-functional initiatives involving data platform and BigQuery migration, ML projects, experimentation, AI for analytics, UX research, data quality, SLAs, and freshness.
  • Unblock stalled projects by defining scope, owners, next steps, and blockers, escalating early, and driving delivery.
  • Manage resources, backlogs, capacity, dependencies, and prioritization across ML, backend, product, and analytics teams.
  • Stop or rethink initiatives that do not deliver business value.

Operating model and impact

  • Run monthly reviews, quarterly planning, project reviews, retrospectives, commitment tracking, escalation processes, and a single status dashboard.
  • Translate initiatives into expected benefits and measurable business impact; track ROI and results against plan.
  • Own operational health across data freshness, platform uptime, ML platform stability, delivery predictability, and experimentation throughput.
  • Develop Product Analytics, Data Engineering, ML, and UX Research leads through goal-setting, prioritization, feedback, and management growth.

Experience and qualifications

  • 7+ years in data, analytics, or ML in product technology companies, including 4+ years leading specialists and team leads.
  • Broad understanding of product and marketing analytics, experimentation, the ML lifecycle, data platforms, data quality and SLAs, BI/self-service, and unit economics; hands-on depth in at least one area.
  • Proven delivery of complex cross-functional data or ML projects with measurable results.
  • Strong operational skills in project decomposition, planning, resource and backlog management, risk, escalation, and managing parallel initiatives.
  • Business mindset focused on numbers, benefits, impact, and trade-offs between speed, quality, value, and risk.
  • Experience negotiating with C-level executives and influencing without formal authority.
  • Previous CDO, Deputy CDO, or Head of Data/Analytics experience at a mid-size or large product organization is highly desirable.
  • Ready to grow into the CDO role while owning day-to-day execution.

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