Data Manager | FCU Technology

Job Description & Summary The FCU Technology team at PwC Polska includes over 100 IT specialists. The financial services industry operates in a challenging environment due to global economic pressures, increasing regulatory and capital requirements, and significant operational and technological changes. As FCU Technology, we provide innovative technological solutions, data analytics and consulting services for global PwC clients, responding to key challenges in the area of Anti Financial Crime (Anti Money Laundering, Combating Terrorism Financing, Fraud Risk Management, FATCA and implementation of financial sanctions, etc.). We are looking for: Data Manager | FCU Technology Your future role: You will manage data analytics consulting projects - propose solutions, gather business and technical requirements, supervise implementation of data and technology solutions, You will collaborate with team members on client projects to develop data-driven solutions for complex challenges, playing a pivotal role in project delivery while building and maintaining strong relationships with clients and stakeholders, You will assist in designing, developing and implementing management information products, analytical solutions and raw data extraction processes, guide the team on quality validation techniques, and leverage your extensive data expertise to ensure accurate data ingestion throughout the pipeline. You will also provide insights on transforming raw data into informative visualizations to support management decisions, You will lead the development of data tools for transformation, management, and access, while advising the team on writing and validating code to enhance the resilience of data storage and platform availability, You will oversee the implementation of performance monitoring protocols in data pipelines, mentoring the team on creating visualizations and aggregations to track pipeline health. Additionally, you’ll coach the team on implementing solutions to reduce failure points across multiple product features, You will support the identification of data governance requirements, oversee the design of data modeling and handling processes to ensure legal and policy compliance, and manage data accessibility within your pipelines, You will prepare team members for stakeholder meetings, addressing data requirement concerns by offering your guidance. You’ll also assist in evaluating data costs, access, usage, use cases, dependencies, and availability for business or customer scenarios related to one or more product features and coach your staff members to develop them further, In addition to the above, you will keep up with latest Technology and Anti Financial Crime trends and work on internal initiatives developing new value propositions for our Clients. Apply if you have: 10+ years' experience in data/business analytics, data engineering or data modeling project delivery (preferably for Financial Services sector), 5+ years of experience in scaling and managing team of 6+ persons, Demonstrated sales acumen with experience in developing data-driven strategies to drive business growth (min.2 years), Advanced negotiation skills for managing project timelines and deliverables both internally and externally, Proven experience in balancing personal project responsibilities, managing and leading a team often working on separate projects, and actively contribute to business development of the wider Technology team, Ability to identify and address client needs, develop and maintain meaningful client relationships, Understanding of statistical analytics methods and the ability to apply these in the appropriate circumstances, Experience in data querying technologies (e.g. SQL) and programming languages for process automations (e.g. Python, VBA), Knowledge of data visualization/dashboarding technologies (e.g. Power BI, Tableau), Analytical and results-oriented mindset, Proficiency in agile methodologies, University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data), Excellent written & spoken English with great communication skills, Experience in data governance, data stewardship and data management, Demonstrated knowledge of new technologies and AI‑powered tools in your daily work (e.g., task automation, information analysis, content creation). Nice to have: Fluency in German, Dutch of French would be an advantage. By joining us you gain: Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave, Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker, Wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, Possibility to create your i ndividual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 3 paid hours for volunteering per month, Additional paid Birthday Day off , And when you start enjoying PwC as much as we do, you may recommend your friend to work with us. Recruitment process: Apply, Talk to our recruiter on a short HR screening call, Get to know us better during the interviews. Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com. Please note that this email is not designated for application submissions. Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities ). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy . #LI-KT1