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Manager, Digital Platforms

1 week ago

Singapore IPI Singapore Full time

IPI is an innovation catalyst that helps Singapore enterprises find new and innovative technologies to grow their business. We work closely with local companies to understand their challenges and global technology providers to find the best-fit solutions to address them.
About the Role
As a Manager, Digital Platforms at IPI, you will lead and manage initiatives to drive organisational productivity & efficiency improvement, customer experience enhancements and knowledge retention through the deployment of latest digital technologies.
This role will be a great fit for you if:
You are a digital technology professional in GenAI, CRM, SaaS Applications;
You are passionate to be part of IPI’s digital evolution journey and create significant impact in the execution of initiatives from Ideation to Value realisation phase;
You welcome the challenge of creating dynamic and scalable solutions to meet the changing needs of IPI;
You enjoy solving complex software problems, designing and configuring for our evolving business requirements.
You are comfortable working with internal stakeholders to provide data insights for business decision making and KPI reporting;
You have extensive experience in agile project management, exposure to AI enabled technologies, managing system integrators and technology procurement.
Job Responsibilities:
Business Partnering
Working closely with business end users, guide them on how to use the platform effectively, which ultimately drives business value realisation on investment made.
Close collaboration with vendor partners to articulate IPI business needs by arriving with functional specifications and business, technical test scenarios.
Identify training (refresher) needs from business stakeholders and organise such training to drive digital platform adoption.
Project Management and Delivery:
Collaborate closely with cross-functional teams and system integrators to deliver impactful digital solutions.
Develop and execute project plans, adhering to agile methodologies, to ensure timely and efficient project delivery.
Conduct thorough testing to guarantee application stability, functionality, and security.
Drive solution adoption and user training to maximize business impact.
Data Management and Analysis:
Discover, extract, and cleanse data from internal and external sources to support data-driven decision making.
Design and implement robust data models to optimize data accessibility and usability.
Develop and maintain informative dashboards and reports to provide actionable insights to stakeholders.
Identify opportunities to leverage AI and machine learning for data-driven process improvements.
Process Improvement and Innovation:
Analyze existing processes such as Technology Scouting to identify areas for automation and optimization through AI enabled solutions.
Develop recommendations for implementing new technologies and process improvements.
Benchmark industry best practices to drive continuous improvement.
Pre-requisites:
Experience:
Minimum 3-5 years of experience managing enterprise applications (CRM, data analysis, or related systems).
Proven track record in deploying and implementing digital solutions.
Demonstrated success in driving solution adoption.
Experience in developing and maintaining customer-facing interfaces.
Proficiency in data modeling and reporting.
Skills:
Strong analytical and problem-solving abilities.
Advanced data analysis skills to extract insights from large datasets.
Excellent written and verbal communication skills.
Proven project management skills with a focus on Agile methodologies.
Technical Expertise:
Bachelor's degree in computer science or software engineering.
Proficiency in SaaS application customization and configuration.
Expertise in application testing and quality assurance.
Advanced proficiency in data visualization tools (Tableau, Power BI, or similar).
Strong understanding of cloud computing platforms (AWS, Azure).
Adaptability to learn and apply new technologies (e.g., AI, machine learning, natural language processing, Large Language Model).
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