Accountabilities
The Deputy CDO will take ownership of execution across the Research Center, translating strategic priorities into measurable results while ensuring operational excellence, effective resource management, and strong collaboration across teams.
Strategic Initiative Leadership: Lead selected strategic initiatives from business case development and prioritization through implementation and measurable business impact. Ensure projects align with organizational objectives and deliver tangible value.
Executive Stakeholder Management: Collaborate directly with C-level executives and business leaders to align priorities, negotiate resources and timelines, and manage strategic trade-offs using data-driven arguments and financial insights.
Cross-Functional Project Execution: Oversee major initiatives across data and analytics, including data platform development, BigQuery migration, complex machine learning projects, experimentation processes, AI-powered analytics, UX research, and data quality improvements.
Project Delivery and Issue Resolution: Identify and resolve delivery bottlenecks across teams. Clarify project scope, assign ownership, establish next steps, address dependencies, and escalate risks early to ensure initiatives progress successfully.
Resource and Backlog Management: Manage capacity, resources, and backlogs across multiple teams. Prioritize initiatives according to business value, coordinate dependencies between ML, backend, product, and analytics teams, and reassess or discontinue projects that fail to deliver expected results.
Operational Management and Governance: Establish and maintain the operating framework for the Research Center, including monthly business reviews, quarterly planning, project reviews, retrospectives, commitment tracking, escalation procedures, and centralized performance dashboards.
Business Impact and ROI Measurement: Translate strategic initiatives into measurable business objectives, expected benefits, and financial outcomes. Monitor ROI and actual performance against plans, ensuring that delivery success is measured by business impact rather than task completion alone.
Team Leadership and Development: Support and strengthen team leads across Product Analytics, Data Engineering, Machine Learning, and UX Research. Help them define objectives, prioritize work, improve management practices, provide constructive feedback, and develop their leadership capabilities.
Operational Performance: Oversee the operational health of the data function, monitoring data freshness, platform uptime, ML infrastructure stability, delivery predictability, and experimentation throughput.
Strategic and Organizational Continuity: Act as a trusted partner and successor to the CDO, maintaining the ability to assume responsibility for the entire data function when required.
Requirements
The ideal candidate is an experienced data and technology leader with a strong background in product organizations, proven operational execution capabilities, and the ambition to progress into a Chief Data Officer position.
At least 7 years of professional experience in data, analytics, or machine learning within product-focused technology companies.
At least 4 years of leadership experience managing highly skilled specialists, managers, and team leads.
Previous experience as a Chief Data Officer, Deputy CDO, Head of Data, or Head of Analytics within a mid-sized or large product organization is highly desirable.
Strong ambition and readiness to grow into a CDO role, combining strategic vision with hands-on responsibility for day-to-day execution.
Broad understanding of data and research functions, including product and marketing analytics, A/B testing, experimentation, machine learning lifecycles, data platforms, data quality, service-level agreements (SLAs), business intelligence, self-service analytics, and unit economics.
Deep practical expertise in at least one major data domain, supported by the ability to understand and coordinate across the wider data ecosystem.
How Jobgether works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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