Business analytics consultant in data products

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• Lead data product workstreams from discovery and solution design through development, deployment and adoption
• Work with clients to understand industry-specific processes, challenges and opportunities, and define the business outcomes a data product should achieve
• Translate business needs into product requirements, technical designs and delivery plans that teams can put into practice
• Contribute hands-on to the development of data products, applying your technical expertise while working with specialists from other disciplines
• Evaluate architectures, tools and technologies—including AI, cloud platforms and large-scale data processing where appropriate—and make informed trade-offs based on value, feasibility, performance and cost
• Guide products from prototype to production, addressing considerations such as data quality, security, reliability, monitoring and maintainability
• Lead workshops and technical discussions with business and technology stakeholders, explaining solution choices and aligning teams around delivery priorities
• Measure product performance, adoption and business impact, and use what you learn to improve the solution after launch

• 7-10+ years of hands-on experience developing and delivering data products or data-intensive software solutions
• A track record of taking products beyond prototypes into production, including deployment, monitoring and improvement after launch
• Strong technical expertise in at least one relevant discipline, with the ability to contribute directly to solution design and development
• Experience designing architectures and making practical trade-offs around scalability, reliability, security, performance and cost
• Experience working with data across the product lifecycle, from acquisition and processing to making it useful in an application, service or decision-making process
• Understanding of how technologies such as AI, cloud platforms and large-scale data processing can support data products, and the judgment to choose an approach suited to the problem
• Experience translating business needs into product requirements and working with others to deliver against them
• Knowledge of the business processes and metrics in at least one industry, and the ability to apply that knowledge to product decisions
• Ability to lead discussions with business and technical stakeholders, explain technical trade-offs clearly and guide a workstream through delivery
• Strong communication skills in English
• Будет плюсом: Deep experience in a business industry—such as financial services, retail, life sciences, energy or another sector—and a record of delivering data products that address its specific processes and challenges; Experience delivering data products across multiple industries and adapting solutions to different business contexts; Depth in more than one technical discipline, such as software engineering, analytics, data engineering, machine learning or product architecture; Experience modernizing existing data platforms or bringing experimental solutions into production; Experience delivering products in regulated environments, where data privacy, security and governance shape technical decisions; Experience using product feedback and usage data to improve a solution after launch; Experience mentoring engineers or other technical specialists and helping teams adopt effective delivery practices; Experience bringing AI-enabled products into everyday use, including integration with existing workflows, user adoption and measuring their impact after launch

• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership