Data Product Manager at Earnipay

About the job

Product Strategy and Roadmap:

• Define and articulate a compelling product vision that aligns with business objectives and customer needs.
• Craft a strategic roadmap, prioritizing features and enhancements that deliver maximum value to our users.

Data Science Integration:

• Collaborate closely with engineering to infuse cutting-edge analytics and machine learning capabilities into our products.
• Drive the development of algorithms and models that elevate the effectiveness and enable the roadmap of our products.

Market Research and User Insights:

• Conduct market research to identify emerging trends, customer pain points, and competitive opportunities.
• Leverage user feedback and data insights to refine and optimize product features for an exceptional user experience.

UX and Design Collaboration:

• Work hand-in-hand with design teams to ensure the seamless integration of data-driven insights into product interfaces.
• Continuously iterate on product design based on user behavior analytics and usability studies.

Data Governance and Quality Assurance:

• Establish and enforce robust data governance standards to ensure data integrity and reliability across the organization.
• Implement processes for ongoing monitoring and enhancement of data quality to meet the highest standards.

Stakeholder Engagement:

• Effectively communicate product strategy, features, and benefits to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams including sales, marketing, and customer support to gather insights and address user needs.

Performance Analytics and KPIs:

• Define and track key performance indicators (KPIs) to measure the success and impact of products.
• Utilize data analytics to derive actionable insights, informing ongoing product optimization and strategic decision-making.

Qualifications

• Bachelor's or advanced degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in product management, with a strong background in data science and analytics.
• Proficiency in data tools such as Python, R, Power BI, Tableau, or SQL.
• Proficiency in machine learning algorithms, statistical models, and data engineering principles.
• Exceptional product management skills with a demonstrated ability to lead cross-functional teams.
• Solid understanding of data governance and quality assurance best practices.
• Excellent communication skills, adept at conveying technical concepts to diverse audiences.
• Familiarity with agile development methodologies is advantageous.

Must have skills

• Data Analysis
• Product Management
• Excellent Communication skills
• Problem solving
• Innovative thinking
• Leadership skills