deputy CDO for ML and data platforms

Social Discovery Group is a group of social discovery companies that addresses loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Its products are social entertainment platforms designed to connect people online across cultures and regions.

• Own execution of cross-functional strategic initiatives across ML, experimentation, and data platform domains
• Lead 2–3 high-priority initiatives during the first 3 months: define scope, align stakeholders, establish ownership, and drive delivery to measurable outcomes
• Ensure predictable execution through clear planning, coordination, and delivery management
• Unblock stalled or ambiguous projects by clarifying ownership, resolving dependencies, escalating risks early, and driving initiatives through completion
• Build and operate an effective execution framework, including monthly business reviews, quarterly planning, retrospectives, project reviews, and escalation processes
• Establish a single source of truth for project status, risks, commitments, and delivery tracking
• Improve the experimentation ecosystem by increasing decision-making speed, standardizing evaluation and rollout processes, and reducing operational chaos and manual work
• Accelerate ML delivery cycles by reducing time from idea to experiment to production and coordinating dependencies across ML, backend, analytics, and product teams
• Ensure ML initiatives deliver measurable business impact, not only technical outcomes
• Strengthen functional leads in Product Analytics, Data Engineering, ML, and UX through prioritization support, execution discipline, feedback, and managerial coaching
• Increase ownership, accountability, and cross-functional collaboration across teams
• Own operational excellence of the function, including data freshness, uptime, SLA adherence, and delivery predictability

• 6–10+ Years in data, analytics, or ML domains, including 3–5+ years in leadership roles
• Proven track record delivering cross-functional projects involving ML, data platforms, experimentation, and analytics
• Experience in product companies, not only consulting environments
• Strong understanding of product analytics, A/B testing, unit economics, and key business metrics
• Solid understanding of the ML lifecycle, from ideation to production
• Familiarity with data platforms, data quality management, SLA processes, and self-service BI/analytics
• Strong execution skills in project decomposition, planning, prioritization, and delivery management
• Ability to coordinate cross-functional teams across ML, backend, product, and analytics functions
• Experience managing risks, dependencies, escalations, and multiple parallel initiatives
• High technical literacy, including the ability to dive deep into data and ML topics, understand system constraints, and work closely with engineering and data teams
• Strong written and verbal English and Russian communication skills

• 28 Calendar days of vacation per year
• 7 Wellness days per year for personal matters and recovery without taking sick leave
• Bonuses up to $5000 for recommending successful applicants for company positions
• 50% Payment for professional training, international conferences, and meetings
• Corporate discount for English lessons
• If not eligible for corporate medical insurance, compensation of up to $1,000 gross per year per employee for self-purchased health insurance or doctor’s fees for the employee and close relatives (spouse and children)
• The company provides equipped workplaces and necessary equipment in its offices or co-working locations. In other locations, reimbursement of workplace costs is available up to $1000 gross once every 3 years for co-working rent or home workplace equipment
• Internal gamified gratitude system with bonuses exchangeable for merchandise, team-building activities, massage certificates, and more