Data Product Manager at Earnipay Financial Technology Limited

Earnipay is a finance and people solutions company dedicated to helping businesses solve their Finance & People Operations Challenges.

We are recruiting to fill the position below:

Job Title: Data Product Manager

Location: Lagos
Job Type: Full-time
Workplace Type: Hybrid

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.
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.
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.

Must have skills: