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.
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- Prioritize product features based on market needs, business objectives, and technical feasibility.
- Ensure product alignment with key business stakeholders and engineering teams.
Cross-functional Collaboration:
- 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.
Data-Driven Insights:
- 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.
Project Management & Execution:
- 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.
Customer Focus & Market Analysis:
- 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.
Essential Qualifications:
Product Management Expertise:
- 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.
Technical Proficiency:
- 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.
Data & Analytics Expertise:
- 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.
Cross-functional Leadership:
- 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.
Educational and Experience Requirements:
- 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.
This position is ideal for a proactive, results-driven individual who thrives on innovation and collaboration in a fast-paced, data-focused environment.