About The Position
DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture. We are pioneers at heart, always leaning forward and thinking of what we can create tomorrow that does not exist today. We were born digital and are a new model of agency, with a deep skillset in tech and marketing, hiring curious, self-driven, talented people who never stop innovating. Our culture is big enough to cope and small enough to care, providing global opportunities and benefits while investing in individual growth and autonomy. This is a full-time contract opportunity, initially for 3 months and expected to extend in 3-month increments. Candidates must be willing to work 4 hours daily with the EMEA team for meetings. We are seeking a Data Product Manager to join our financial client's data product workstreams. This role focuses on building scalable and efficient data products that support analytical workflows and enterprise data delivery across Client's Analytics. You will be responsible for managing the full data product lifecycle—from ideation to delivery—working closely with data engineers, analysts, QA, business stakeholders, and other product teams to ensure high-quality data solutions.
Requirements
- Hands-on experience with SQL and are comfortable querying and analyzing large datasets across relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB) databases
- Strong track record of working with data engineers and navigating complex data infrastructure to deliver scalable, high-quality solutions
- Experienced in agile methodologies and lead sprint planning, stand-ups, and retrospectives to drive iterative product development
- Effective communicator who bridges technical and non-technical stakeholders, fostering alignment across product, engineering, QA, and business teams
- Results-oriented and use metrics and client feedback to prioritize work, evaluate impact, and drive continuous improvement
- Experience in the finance industry and understand the critical role of data quality, timeliness, and regulatory alignment
- Proactive team member who promotes automation, scalability, and operational efficiency in all aspects of the data product lifecycle
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Responsibilities
- Lead the delivery of data products, working with cross-functional teams including data engineering, QA, technology, and business strategy
- Translate business needs into data requirements with a strong focus on data workflows, scalability, and performance
- Own the data product backlog, prioritizing features, technical tasks, and improvements based on business value, effort, and dependencies
- Collaborate closely with engineering to ensure accurate understanding of data structure, source systems, and integration logic
- Actively manage sprint planning, stand-ups, and retrospectives in an agile development environment
- Ensure that data quality, documentation, lineage, and governance standards are upheld
- Identify opportunities to automate data workflows and reduce failure points across the data lifecycle
- Communicate product status, risks, and decisions to stakeholders in a clear and timely manner
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
