Project/Product Manager

Doheney Services

Nigeria

Full time

Aug 3

This job is no longer accepting applications.

Role

The purpose of this role is to manage the products/projects, incumbent will partner

with leadership, production and technical teams to develop product roadmaps and ensure

successful project delivery.

Responsibility

● Develop and execute a product vision, strategy, and roadmap, and go-to-market plans in

partnership with business objectives

● Facilitate communication between Frontend and Backend development teams, DevOps

Engineers, UI/UX Designers and clients

● Assist development team in removing blockers and getting questions answered

● Partner with engineers and designers to ideate, prioritize and deliver great solutions for our

customers

● Document requirements as user stories and acceptance criteria in a scrum backlog or in

traditional requirements formats

● Translate complex business problems into easily digestible narratives

● Participate in the development process by providing just in time feedback and clarification

to developers regarding requirements contained in the current development sprint

● Align on key business goals and customer needs for each product initiative and provide

strategic product direction

● Partner with executive-level stakeholders and the development team to define, deliver, and

advance the product roadmap.

● Leverage analytics, surveys, competitive analysis, and user interviews to identify areas of

opportunity or improvement.

Requirements

• creative thinker and problem solver who can partner with all stakeholders to ensure

effective delivery of products according to its roadmap

• A self-starter and self-motivated person who is able to Influence the product team and

cross-functional teams to ensure successful outcomes of products and projects

• Passionate about innovation and result oriented

● Minimum 5 years work product/project management experience with a FinTech

● Strong track record of work-based success with tangible achievements

● Experience with the full life cycle of Machine Learning development – creating and

following statistical experiments, deduction and code actualization

● Ability to plan a project, gather the resources through and see it through to completion

● good judgment in making something people love so much that they tell their friends.

● Excellent communications skills; ability to develop and make presentations to an executive

leadership audience.

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