[Hiring] Deputy CDO @Social Discovery Group

Role Description

We are looking for a Deputy CDO. Your main tasks will be:

• 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: 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/manual work.
• Accelerate ML delivery cycles by reducing time from idea → experiment → 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 (Product Analytics, Data Engineering, ML, 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.

Qualifications

• 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: 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 with the ability to dive deep into data and ML topics, understand system constraints, and work closely with engineering and data teams.
• Strong English and Russian communication skills, both written and verbal.

Benefits

• REMOTE OPPORTUNITY to work full-time.
• Vacation: 28 calendar days per year.
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave.
• Bonuses up to $5000 for recommending successful applicants for positions in the company.
• 50% payment for professional training, international conferences, and meetings.
• Corporate discount for English lessons.
• Health benefits: up to $1,000 gross per year for health insurance or doctor's fees for yourself and close relatives (spouse, children).
• Workplace organization: reimbursement of workplace costs up to $1000 gross once every 3 years.
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for merchandise, team building activities, massage certificates, etc.