Deputy Chief Data Officer (Turkey)

About the role

A partner company is recruiting a Deputy Chief Data Officer (Deputy CDO) based in Turkey. The role is second-in-command to the Chief Data Officer in a product-driven technology organization, overseeing data engineering, machine learning, product and marketing analytics, UX research and experimentation. It combines strategic leadership with hands-on operational ownership, working directly with C-level executives and offering a path to become Chief Data Officer.

Key responsibilities

• Lead strategic initiatives from business case and prioritization through implementation, and manage capacity, resources and backlogs across teams
• Oversee major initiatives such as data platform development, BigQuery migration, machine learning projects, experimentation, AI-powered analytics, UX research and data quality
• Resolve delivery bottlenecks, clarify scope, assign ownership, set next steps and escalate risks early
• Establish the operating framework of the Research Center, including monthly business reviews, quarterly planning, project reviews, retrospectives, commitment tracking, escalation procedures and performance dashboards
• Measure ROI and business impact, and support team leads in Product Analytics, Data Engineering, Machine Learning and UX Research
• Monitor data freshness, platform uptime, ML infrastructure stability, delivery predictability and experimentation throughput, and act as a successor to the CDO

Required profile

• At least 7 years of professional experience in data, analytics or machine learning in product-focused technology companies
• At least 4 years of leadership experience managing specialists, managers and team leads
• Previous experience as CDO, Deputy CDO, Head of Data or Head of Analytics in a mid-sized or large product organization is highly desirable
• Fluent in both Russian and English

Required skills

• Broad knowledge of product and marketing analytics, A/B testing, experimentation, machine learning lifecycles, data platforms, data quality, SLAs, BI, self-service analytics and unit economics
• Project planning, resource allocation, backlog prioritization, risk management and stakeholder influence
• Proven track record of delivering complex, cross-functional data and machine learning initiatives

What we offer

• Fully remote, full-time work
• 28 calendar days of paid vacation plus 7 wellness days per year
• Compensation for children's kindergarten or school fees, referral bonuses of up to $5,000
• 50% reimbursement for training and conferences, discounts on language courses
• Up to $1,000 per year for health insurance or medical expenses, and up to $1,000 every three years for coworking or home-office equipment
• Internal recognition program and a distributed international team