Deputy CDO

Social Discovery Ventures; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote opportunity

Vacation 28 days

Wellness days 7

Bonuses up to $5000

Training allowance 50%

Job summary

Social Discovery Group is seeking a Deputy Chief Data Officer to drive cross-functional ML, analytics, and data platform initiatives. You will lead high-priority programs, align stakeholders, and ensure timely delivery with clear ownership and governance.

The role emphasizes measurable business impact and data-driven decision making. Ideal candidates bring 6–10+ years in data/ML plus 3–5+ years in leadership, with product-company experience, strong English and Russian communication, and deep

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.

Responsibilities

• 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.

Skills

Data analytics

ML familiarity

Cross-functional leadership

Product analytics

AB testing

English language

Russian language

Coordination

Tools

BI tools

Job description

Social Discovery Group is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.

We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.

We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are looking for 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.

We expect from you:

• 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.

What do we offer:

• 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. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.

The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.