A complete application in a minute
Tailored resume and cover letter, ready to send.
Dating Group seeks a Deputy Chief Data Officer for its Research Center to drive analytics, ML, and data platforms across the business. The role partners with C-level executives to translate strategy into measurable outcomes and ensure timely, high-quality delivery.
You will own cross-functional initiatives, manage resources and backlogs, and ensure data quality, SLAs, and experimentation throughput while growing a high-performing data and analytics team.
Cyprus Worldwide Remote Any Location Full-Time Research Center
We are looking for a Deputy Chief Data Officer for the Research Center of the Core Business Unit the 2 role in a data function that directly drives company P amp L We see the Deputy CDO as a full-fledged successor to the CDO a leader who can take over the function when needed Together the CDO and the Deputy CDO make sure we do the right things and that these things reach measurable results fast and predictably The Deputy CDO owns execution across the function leads part of the strategic initiatives personally and works directly with C-level executives This is not a chief of staff or program manager role we need a leader who goes deep into the substance of analytics ML data engineering marketing analytics UX research and experimentation and turns strategy into business results
Your main tasks will be Lead part of the Research Center s strategic initiatives end-to-end from business case and prioritization to delivery and measurable impact Work directly with C-level executives and business heads align priorities commitments and trade-offs negotiate resources and timelines with clear numbers-based arguments Own the execution of key cross-functional initiatives across the Research Center data platform and BigQuery migration ML projects with complex dependencies experimentation process AI for analytics UX research data quality SLA freshness Unblock stalled projects when work is stuck between teams or has no clear owner define scope owners next steps and blockers elevate early and drive it to delivery Manage resources and backlog across teams prioritize by business value allocate capacity manage dependencies between ML backend product and analytics stop or rethink initiatives that don t deliver Build and run the operating system of the function monthly reviews quarterly planning project reviews retros commitment tracking escalation process and a single status dashboard working with or without any single person Measure everything in business terms translate initiatives into numbers benefits and expected impact track ROI and results against plan make sure we shipped the task is never mistaken for the business changed Strengthen the team leads Product Analytics Data Engineering ML UX Research help them set goals prioritize give honest feedback and grow as managers Own the operational health of the function data freshness platform uptime ML platform stability delivery predictability and experimentation throughput
We expect from you 7 years in data analytics or ML in product tech companies including 4 years in leadership roles managing strong specialists and team leads Experience as a CDO Deputy CDO or Head of Data Analytics in a mid-size or large product organization is highly desirable Readiness and ambition to grow into the CDO role strategic thinking combined with the willingness to own day-to-day execution A broad understanding of all Research Center domains product and marketing analytics A B testing and experimentation the ML lifecycle from idea to production data platforms data quality and SLA BI self-service unit economics Hands-on depth in at least one of them Proven track record of execution concrete examples of delivering complex cross-functional data ML projects to measurable results Strong operational management skills project decomposition planning resource and backlog management risk management clean escalation running many parallel initiatives Business leader mindset thinks in numbers benefits and business impact understands trade-offs between speed quality value and risk always asks what changed for the business Experience working with and negotiating with C-level executives confident precise with numbers persuasive through facts Influence without formal authority earns trust through competence and results able to push hard and handle conflict without becoming toxic Systematic disciplined and persistent comfortable with ambiguity and multitasking Fluent Russian and English are a must
7+ years in data, analytics or ML in product tech companies, including 4+ years in leadership roles managing strong specialists and team leads.Experience as a CDO, Deputy CDO or Head of Data / Analytics in a mid-size or large product organization is highly desirable.Readiness and ambition to grow into the CDO role: strategic thinking combined with the willingness to own day-to-day execution.A broad understanding of all Research Center domains: product and marketing analytics, A/B testing and experimentation, the ML lifecycle from idea to production, data platforms, data quality and SLA, BI / self-service, unit economics. Hands-on depth in at least one of them.Proven track record of execution: concrete examples of delivering complex cross-functional data / ML projects to measurable results.Strong operational management skills: project decomposition, planning, resource and backlog management, risk management, clean escalation, running many parallel initiatives.Business leader mindset: thinks in numbers, benefits and business impact; understands trade-offs between speed, quality, value and risk; always asks what changed for the business? .Experience working with and negotiating with C-level executives: confident, precise with numbers, persuasive through facts.Influence without formal authority: earns trust through competence and results; able to push hard and handle conflict without becoming toxic.Systematic, disciplined and persistent; comfortable with ambiguity and multitasking.Fluent Russian and English are a must