Role Description We’re looking for a Head of Data Analytics & Customer Insights who will turn data into a core driver of our commercial strategy. This role sits at the intersection of data, product, design, marketing, and sales. You will own how we understand our users - from behaviour to motivation - and translate those insights into actions that drive product development, acquisition, engagement, retention, and revenue. About the Project: - Building an AI-powered digital product focused on helping individuals better understand and improve their cognitive performance. - Combining behavioral signals, interaction data, and self-reflection to uncover patterns in real-world experiences. - Translating complex, human-centered data into clear, actionable insights that support better thinking, focus, and resilience. - Integrating: - Conversational interfaces that capture context-rich user input. - Adaptive systems that respond to individual needs and behaviors. - Insight frameworks that identify patterns and track change over time. This creates a continuous feedback loop between user experience, data interpretation, and personalized improvement. Dare to have a mission: - Turn Data into Strategy - Lead the development of data-driven commercial strategies across the marketing platform analytics, customer support, and customer insights. - Partner with leadership to define product development, growth priorities based on insights and trends. - Identify opportunities to improve conversion funnels and user value. - Manage customer support - Create and manage customer support into a structured, data-driven function that protects user trust, enables rapid issue resolution, and feeds critical insights back into Product, Design, and Marketing and Sales teams. - Own Customer Insights - Session Insights - Build a deep understanding of user behaviour, needs, and motivations. - Customer Profile - Define and manage user segmentation models (personas, cohorts, behavioural clusters). - Manage the data strategy around the emotion (voice and image) and the profiling data. - Combine quantitative data with qualitative insights (feedback, interviews, community signals). - Drive Growth & Monetization - Manage the marketing analytics platform. - Optimize user journeys across the funnel (onboarding, activation, engagement, retention). - Design and analyze experiments (A/B testing, feature impact, product strategies). - Work closely with the design, marketing, and product teams to improve performance. - Support decision-making with clear, actionable insights. - Act as a bridge between technical data work and business outcomes. Qualifications - Strong experience in B2C product marketing and data, analytics, or growth roles (preferably in digital products or AI-driven apps). - Proven track record of influencing commercial or growth strategy through data. - Deep understanding of user behavior, funnels, and product metrics. - Experience with analytics tools (e.g., SQL, Python, BI tools like Looker, Tableau, etc.). - Ability to translate complex data into simple insights. - Strategic mindset with hands-on execution ability. - Creative thinker, not afraid to think and act outside of the box. - Clear understanding of B2C communication strategy with the ability to execute fast and with an eye for detail. Requirements - Experience in mobile apps, SaaS, or community-driven platforms. - Familiarity with AI-driven personalization or recommendation systems. - Background in pricing strategy or monetization models (freemium, subscriptions). Benefits - Meaningful Impact: Architect systems that power the new nomadic economy—don’t just watch from the sidelines. - Growth: A personalized career development program to fuel your journey. - Autonomy: An environment where your technical vision matters and you own your work-life balance. - Global Vibe: An international, dynamic, and remote-first workplace. - Connectivity Support: Coverage for internet and phone bills (51 EUR net). - Flexible Contracts: Choice of Employment or Freelancer agreement. - Total Rewards: Competitive remuneration and a comprehensive social welfare package (for Bulgaria-based colleagues). - Community: Team get-togethers and networking events are in our DNA! - Seamless Living (Sofia option): Need a base? Digitally check into a spacious room at our WN LAB Hotel, Bulgaria’s biggest and coolest 4★ co-living hotel. No deposit, with special discounted rates for single apartments starting from 660 EUR/month (utilities & cleaning included!).

• Diseño y desarrollo de soluciones de IA orientadas a casos de uso reales. • Implementación de agentes, pipelines RAG y sistemas basados en LLMs. • Integración con servicios cloud e infraestructuras hiperescalares. • Desarrollo de lógica de negocio y componentes en Python. • Tratamiento, preparación y transformación de datos. • Evaluación funcional y ajuste iterativo en producción. • Colaboración en la industrialización y despliegue junto a equipos técnicos.

Role Description Ciklum is looking for an Enterprise Data Architect to join our team full-time in the United Kingdom. As an Enterprise Data Architect, become a part of a cross-functional development team engineering experiences of tomorrow. The Enterprise Data & Analytics team delivers a portfolio of solutions bringing together data assets, governance and technologies to support Client’s mission to make it easy to do business. We partner with the business to understand their needs and ensure we deliver measurable value, operational efficiency and scalable data foundations. As Enterprise Data Architect, you will play a critical role in shaping and enabling Business Data Strategy by: - Defining how our core data assets are structured, connected and governed across the organisation. - Ensuring we move from fragmented, initiative-led data solutions toward a cohesive, scalable and integrated data architecture. - Enabling a true single source of truth across key domains such as customer, product, revenue and growth metrics. - Working closely with business and technology teams to translate business needs into clear, scalable data design. - Ensuring that strategic initiatives such as Growth Intelligence are built on strong, reusable and aligned data foundations. Your success will be measured by the extent to which Client achieves consistent, trusted and reusable data, reduces duplication and fragmentation, and enables faster, more confident decision-making across the business. Responsibilities - Defining and owning the target enterprise data architecture, ensuring that key data domains and “golden data assets” are clearly structured, connected and aligned across the organisation. - Ensuring that data initiatives contribute to a single, integrated source of truth, avoiding duplication, conflicting definitions and siloed solutions. - Partnering with business stakeholders to understand decision-making needs and translate these into scalable, outcome-driven data design. - Working closely with technology teams to guide implementation, ensuring alignment with enterprise platforms (e.g. Snowflake) and integration patterns. - Establishing and promoting standards for data modelling, integration and reuse, enabling consistency across federated teams while supporting flexibility where needed. - Contributing to the Business Data Strategy and roadmap, ensuring architectural considerations are embedded and support long-term scalability and value. Requirements - Experience designing and implementing data architectures in complex, enterprise environments, ideally with a mix of central and federated models. - Strong understanding of data modelling, data integration, data lifecycle and data platforms (e.g. Snowflake), with the ability to engage effectively with technical teams. - Ability to translate business needs into clear data design, with a focus on enabling decision-making and delivering measurable business outcomes. - Experience working with data governance, master data management and data quality concepts, and understanding how these are enabled through architecture. - Strong stakeholder engagement and influencing skills, with the ability to work across business and technology teams and drive alignment in a matrix environment. - Ability to balance strategic thinking with pragmatic delivery, ensuring solutions are both scalable and achievable. - Experience of supporting or delivering data-led transformation initiatives is advantageous. Benefits - Private Equity backed environment to foster growth and collaboration. - Great earning potential for the entrepreneurial high performer. - Build your career in a proven successful high growth company with unique service offering on the market. - Variety of knowledge sharing, training and self-development opportunities. Company Description At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand. Want to learn more about us? Follow us on Instagram, Facebook, LinkedIn. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

• Design scalable data pipelines and backend systems from the ground up. • Leverage AWS (S3, Lambda, SQS, Batch) and GCP (Dataflow, DataStream) for real-time and batch processing. • Manage and fine-tune databases (PostgreSQL, MySQL) and Data Warehouses (Snowflake, BigQuery). • Write expert-level Python scripts for workflow orchestration and data transformation. • Support mandatory Power BI reporting to drive data-led business decisions.