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Deputy CDO

Role overview

Qualifications

  • 6–10+ years in data, analytics, or ML domains
  • 3–5+ years in leadership roles
  • Strong understanding of product analytics, A/B testing, unit economics, and key business metrics
  • Strong English and Russian communication skills, both written and verbal

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
  • Ensure predictable execution through clear planning, coordination, and delivery management
  • Improve the experimentation ecosystem by increasing decision-making speed and reducing operational chaos/manual work

Key facts

  • Remote from: Anywhere
  • Full time
  • Expert & Leadership (>10 years)
  • Russian, English

Hard skills

Other skills

  • Communication
  • Team Management
  • Problem Solving

About the company

Social Discovery Group logo

Social Discovery Group

Online Dating & Matchmaking Platforms

Social Discovery Group is a global technology company that builds the future of social discovery apps at the intersection of dating, social, and entertainment. Our portfolio includes 60+ platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund. More than 500 million people across 150 different countries enjoy our products. We strive to have 10 times as many. Our international team of 1,200 professionals and digital nomads works all over the world. Together we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfill their needs for communication and attention from other people and artificial life forms. 🎉 In August 2024 we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks. Your opportunities with SDGroup: ➔Join to work alongside other inspired and creative minds. We employ international professionals with a background in launching global products ➔Grow as an expert. We have a mentoring system and an internal IT community of professionals one can learn a lot. ➔Become a Digital Nomad. We believe that digital nomads are the pioneers of our time, ready to change the world and change themselves. ➔Create your own product. For more than 20 years we have been creating premium international online services in global dating, and within our own venture studio we are launching new projects in the entertainment, social games, and streaming segments. You will have the opportunity to create innovative products. We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products We are the refugee friendly company.

Company details

Company typeSME
IndustryOnline Dating & Matchmaking Platforms
Company size1001 - 5000

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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.

Sounds good? Join us now!

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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