Job Description

Singapore, Singapore
Company: Singtel Group
An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say..."Hello BIG Possibilities".
Product Manager (Smart Data)
Are you ready to lead the charge in shaping the future of the enterprise using Smart Data? We are on the lookout for a visionary Product Manager who thrives at the intersection of innovation, strategy, and execution. In this transformative role, you will have the unique opportunity to spearhead the design and delivery of groundbreaking Data and AI solutions that redefine how businesses operate and compete in the digital age.
As the driving force behind our Smart Data products, you will identify and cultivate strategic partnerships within the Enterprise Data and Infrastructure ecosystem, harnessing collaboration to unlock the development of new products and services. Your expertise will also be pivotal in architecting robust Data Driven AI infrastructure solutions and services that empower businesses to scale their ambitions seamlessly.
Collaboration is at the heart of this role, and you'll work closely with multidisciplinary teams-from engineering and marketing to sales, operations and legal, to ensure the tight execution of cutting-edge product strategies and overarching business objectives. Your strategic insights will fuel go-to-market initiatives, propelling successful product launches and driving sustainable revenue growth.
But that's not all! This role is about creating tangible impact-engaging with enterprise customers to understand their evolving needs, leveraging their feedback to refine offerings, and ultimately delivering innovative solutions that make a lasting difference. If you crave the excitement of solving complex challenges and want to lead the way in enterprise Data & AI innovation, this role is for you.
1. Achieving Revenue and Profitability Targets
The Product Manager for Smart Data must prioritize financial goals, ensuring that each product contributes effectively to the organization's overall revenue and profitability. This includes developing precise financial forecasts and budgets, analyzing sales trends, and identifying key opportunities to expand into new markets or optimize existing segments. By constantly evaluating the product's financial performance and adjusting strategies, they can maximize profitability while balancing costs and investments in innovation and quality.
2. Formulating Product Strategies and Roadmaps
Creating a robust product strategy involves aligning with the organization's vision and staying ahead of market trends and technological advancements. The Product Manager must define clear objectives for the product, detailing how it will address customer needs and differentiate itself from competitors. Roadmaps serve as actionable guides that track progress and prioritize tasks, while ensuring all stakeholders, including engineering and marketing teams, work cohesively to deliver the product successfully. Examples include :

• Network Optimization

Network optimization is one of the most significant areas where AI and Smart Data are deployed. These solutions provide real-time insights into network performance, enabling telcos to identify bottlenecks and inefficiencies.

• Customer Experience Enhancement

AI and Smart Data are revolutionizing customer interactions and service delivery. Telcos can now offer personalized experiences by understanding customer behavior and preferences.

• AI Chatbots and Virtual Assistants

AI-driven chatbots deliver instant responses to customer queries, reducing wait times and improving satisfaction. These assistants are capable of handling diverse requests, from troubleshooting network issues to guiding users through billing procedures

• Virtualized Network Functions (VNFs)

Telcos are increasingly adopting VNFs, which use AI to manage software-defined networking (SDN) functionalities. This reduces dependency on physical hardware, enhances network agility, and lowers operational costs.

• Data Monetization

Data monetization is another area where Smart Data and AI are creating new revenue streams for telcos.

• Insights for Third Parties

Telcos can anonymize and aggregate customer data to offer valuable insights to third-party businesses. For example, traffic data can help urban planners develop smarter cities, while consumer trends can guide marketing strategies for retail chains.
3. Managing the Entire Product Lifecycle
The Product Manager is responsible for overseeing the entire journey of a product, from initial concept and development stages to market launch and eventual retirement. This involves coordinating with Sales, Engineering, Marketing, Legal, Delivery and other key stakeholders to ensure timely and efficient development. Post-launch, they continuously monitor the product's performance, gather customer feedback, and initiate improvements or upgrades to keep the product relevant in a dynamic market. Planning for the product's retirement also involves transitioning customers to newer offerings while preserving brand loyalty.
4. Driving GTM (Go-To-Market) and Pipeline Generation Initiatives
To ensure a product's successful entry into the market, the Product Manager collaborates with marketing and sales teams to develop comprehensive go-to-market strategies. This includes defining the target audience, crafting compelling positioning messages, and designing promotional campaigns that maximize visibility. Additionally, they focus on building a strong pipeline of leads by leveraging industry events, partnerships, and data-driven strategies to secure sales opportunities and drive adoption across regions.
5. Working with Key Technology Partners for Continuous Innovation
Staying ahead in the Smart Data and AI industry requires forging strategic partnerships with technology leaders, research institutions, and startups. The Product Manager must actively seek collaborations to integrate emerging technologies into their products, ensuring they remain cutting-edge and competitive. Regular communication and joint initiatives with partners foster innovation, enabling the development of unique features and enhancements that keep the company at the forefront of Smart Data and AI advancements.
6. Ensuring Alignment Across Teams
The Product Manager acts as the central coordinator between various teams in the organization, including engineering, design, marketing, sales, and support. By facilitating clear communication and collaboration, they ensure that all departments are aligned on product objectives, processes and timelines. Establishing regular meetings, progress tracking tools, and shared resources helps create a cohesive work environment that drives efficiency and minimizes misalignment.
7. Monitoring Market Trends and Customer Needs
Understanding both the current market landscape and evolving customer expectations is vital for product success. The Product Manager conducts in-depth research on competitors, industry developments, and emerging technologies. They also actively engage with customers through surveys, interviews, and direct conversations to understand their unique requirements. This engagement allows the Product Manager to introduce tailored Smart Data and AI solutions that address specific pain points, demonstrate value, and foster trust in the company's offerings.
The Road Ahead
The integration of Smart Data and AI is transforming every facet of the telecommunications industry. From enhancing network efficiency to improving customer satisfaction, these technologies offer telcos a competitive edge in an increasingly digital world. As AI evolves and data analytics become more sophisticated, the potential for innovation in telecom solutions is boundless. By embracing these advancements, telcos can not only meet the demands of today but also anticipate and adapt to the challenges of tomorrow.
Skills For Success:

• Degree in Data Science and AI, Computer Science, Engineering or equivalent
• Minimum 5 years' experience in sales, pre-sales, or technical product marketing
• Experience with Data and AI Solution design and Gen AI assisted Managed Services, Pre-Sales or technical business development.
• Experience in different aspects of Data and AI technologies including AI models and their use cases, along with AI Infrastructure solutions
• Experienced in a ICT Sales, Pre-Sales, Technical Marketing or Delivery Role.
• Effective communicator with the ability to drive consensus among Customer stakeholders from entry level to management that represents various functions with competing goals
• High level of self-autonomy
• Excellent presentation skills for internal management and external customer presentations
• Creative and conceptual thinking
• Strong delivery track record