Responsibilities

The Senior Data Product Owner will play a crucial role in the creation and execution of advanced data and AI-driven solutions, working at the intersection of business strategy, technology, and analytics. This individual will collaborate with cross-functional teams, including engineering, data science, and business stakeholders, to define product roadmaps, prioritize features, and ensure the delivery of high-value, data-centric solutions. Success in this role requires deep expertise in data analytics, cloud technologies, and product management.

Key Responsibilities:

Product Strategy & Roadmap Development:

• Participate in defining the vision, strategy, and roadmap for data products that align with business goals.

• Prioritize product features based on market needs, business objectives, and technical feasibility.

• Ensure product alignment with key business stakeholders and engineering teams.

• Work closely with data scientists, engineers, and business analysts to ensure seamless product delivery.

• Gather and translate business requirements into detailed product specifications.

• Facilitate communication and collaboration between technical and non-technical teams.

• Utilize data analytics to drive product decisions and optimize features.

• Monitor product performance, user feedback, and market trends to continually improve product offerings.

• Develop metrics and KPIs to track product success.

• Oversee the product lifecycle from ideation to release, ensuring on-time delivery and within budget.

• Lead sprint planning, backlog refinement, and other Agile ceremonies to manage the development process.

• Mitigate risks and resolve project roadblocks through proactive problem-solving.

• Conduct market research and competitor analysis to identify opportunities for innovation.

• Engage with end-users and stakeholders to gather feedback and ensure products meet their needs.

• Define and communicate a clear value proposition for the product.

• Proven track record in managing the full lifecycle of data or AI-driven products, from ideation to release.

• Ability to translate complex business requirements into technical specifications for engineering teams.

• Experience with Agile methodologies and working in fast-paced, iterative development environments.

• Strong understanding of cloud platforms, particularly Azure, and their role in supporting data and AI solutions.

• Familiarity with key technologies, such as Python, Spark, SQL, and Databricks, to effectively guide product development.

• Experience with ETL processes and data architecture to ensure robust data pipelines.

• Experience working with both structured and unstructured data to inform product development.

• Strong analytical mindset with the ability to interpret data insights and drive product decisions based on customer needs and market trends.

• Demonstrated ability to collaborate across teams, including engineering, sales, and marketing, to drive product success.

• Strong communication skills, with the ability to clearly present product strategies and progress to leadership.

• Degree in business, Computer Science, or a related field.

• 5+ years of product management experience, ideally within the fintech space or related data-driven sectors.