Job Description:
The Product Manager is an advanced-level position within the product and project management. This role involves managing the lifecycle of a product, defining product strategy, managing a portfolio of projects, and driving product development and innovation. Analytics scope focuses on AI and ML-powered products/ services.
This role spearheads the digitization efforts, moving with speed and delivering quality results.
Responsibilities:
- Define product vision, strategy, and roadmap based on business research, stakeholder needs, and competitive analysis.
- Own business impact metrics, roadmap, and product budget.
- Collaborate with cross-functional teams to develop and launch new products or enhancements.
- Conduct process research and analysis to identify business needs and opportunities for product growth.
- Lead and manage product teams to ensure that delivery is up to impact outcomes, time, cost, quality, governance, and satisfaction, as per agreed product roadmaps.
- Prioritize product features and enhancements to achieve target business impact, working closely with development teams to ensure time-to-market and optimal costs.
- Gather and incorporate feedback from customers, stakeholders, and market trends to continuously improve products.
- Ensure appropriate change management is conducted in business processes.
- Define and lead training to ensure solution adoption.
- Responsible for software, hardware, and professional services contracts and budgets.
- Monitors the emergence of new data development technologies and methodologies and where appropriate applies it to the data analytics development process.
Requirements:
- Tertiary education in Computer Science and/or other relevant disciplines.
- At least 6 years of relevant working experiences in product management /data analytics.
- Strong collaboration and stakeholder management skills, with the ability to work effectively with cross-functional, cross-cultural teams.
- Strong practice with Agile development methodologies, DevOps, and product management tools.
- Proven record of working with analytics, and ML/AI solutions.
- Synthesize complex or diverse information Able to source and prepare data Design data flows and Data models Challenge and re-validate conclusions.
- Excellent verbal communication skill to liaise with international clients.
- Regional experiences is preferred.
