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Data Scientist Product Owner - Job Opportunity at FedEx AMEA

Singapore, Singapore
Full-time
Mid-level
Posted: July 3, 2025
On-site
SGD 95,000 - 130,000 per year based on Singapore market rates for mid-level data scientist roles with product management responsibilities in multinational corporations, with potential for performance bonuses and equity participation given FedEx's market position

Benefits

Equal opportunity employment with commitment to diversity, equity, and inclusion ensuring fair treatment and growth opportunities
Career development within a Fortune Top 10 World's Most Admired Companies providing exceptional brand recognition and networking opportunities
People-Service-Profit philosophy investment providing job security through profit reinvestment in employee development
Global exposure opportunities across 220+ countries and territories enhancing international business experience
Innovation-focused work environment encouraging creative problem-solving and professional growth

Key Responsibilities

Lead enterprise-wide data governance strategy implementing scalable architectures, integration processes, and quality management systems that directly impact organizational data maturity and decision-making capabilities
Drive executive-level strategic alignment by defining AI-based solutions and ranking their business impact, positioning yourself as a key stakeholder in corporate digital transformation initiatives
Conduct comprehensive data landscape analysis identifying new sources and performing gap assessments that inform multi-million dollar technology investment decisions
Architect and manage critical AI product roadmaps and development timelines that directly influence company competitive positioning and market responsiveness
Lead customer-centric product design through process mapping, user journey development, and prototype creation that shapes user experience and drives adoption rates
Translate high-level corporate vision into actionable data science initiatives that align technical capabilities with strategic business objectives
Drive innovation through AI algorithm research and market analysis that positions the organization at the forefront of industry technological advancement
Facilitate executive workshops and stakeholder interviews to identify AI implementation opportunities with significant positive business impact and ROI potential
Lead cross-functional collaboration with software development teams to deliver integrated solutions that enhance operational efficiency and customer satisfaction

Requirements

Education

Bachelors' degree or equivalent in Computer Science, MIS, or similar discipline

Experience

Four (4) years of relevant work experience

Required Skills

Data Management and Governance Data architectures and models implementation Data integration processes and best practices Master and metadata management Data stewardship Data quality management Data definitions maintenance Data lineage Data dictionaries Business rules publication Knowledge management User training and support AI-based solutions development Data gap analysis Training, validation, and test data sets development AI product roadmaps management Process mapping Personas development User journeys creation Wireframes and prototypes building Strategic vision translation AI algorithms research Market research Workshop facilitation Customer interviews Software team collaboration English proficiency

Certifications

Specific business accreditation for Data Management
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Sauge AI Market Intelligence

Industry Trends

The logistics and supply chain industry is experiencing unprecedented digital transformation driven by e-commerce growth, with companies investing heavily in AI and machine learning capabilities to optimize route planning, predictive maintenance, and customer experience personalization. This trend has created substantial demand for professionals who can bridge the gap between data science and product management, particularly in organizations handling massive volumes of operational data across global networks. Data governance and compliance requirements are becoming increasingly complex in the Asia-Pacific region, with new regulations around data privacy, cross-border data transfers, and AI ethics driving the need for specialized roles that combine technical expertise with regulatory knowledge. Organizations are prioritizing professionals who can implement robust data management frameworks while ensuring compliance across multiple jurisdictions. The convergence of product management and data science disciplines is creating hybrid roles that command premium compensation, as companies recognize the strategic value of professionals who can translate technical capabilities into business outcomes. This trend is particularly pronounced in logistics companies where data-driven decision making directly impacts operational efficiency and customer satisfaction metrics.

Role Significance

Typically manages or influences 8-15 team members across data science, product development, and business stakeholder groups, with matrix management responsibilities spanning multiple departments and geographic regions
This role operates at a strategic mid-to-senior level with significant influence on enterprise data strategy and AI product development, requiring direct interaction with executives and cross-functional leadership responsibilities that indicate substantial organizational impact and decision-making authority

Key Projects

Enterprise-wide data governance platform implementation affecting thousands of users AI-powered logistics optimization systems with multi-million dollar operational impact Customer experience enhancement initiatives using predictive analytics and machine learning Cross-border data compliance and management systems for international operations Executive dashboard and business intelligence platform development for strategic decision-making

Success Factors

Exceptional ability to translate complex technical concepts into business value propositions that resonate with executive stakeholders and drive strategic alignment across diverse organizational functions Strong leadership and influence skills to drive adoption of data governance practices and AI initiatives across resistant or change-averse organizational cultures Deep understanding of both technical data science methodologies and product management frameworks, enabling effective bridge-building between technical teams and business stakeholders Proven track record in managing complex, multi-stakeholder projects with competing priorities and resource constraints while maintaining quality and timeline commitments Strategic thinking capabilities that connect tactical data science initiatives to broader business objectives and competitive positioning in the global logistics market

Market Demand

High demand driven by digital transformation initiatives in logistics sector and scarcity of professionals combining data science expertise with product management skills in the Asia-Pacific region

Important Skills

Critical Skills

Data governance and architecture expertise is absolutely essential as organizations increasingly recognize data as a strategic asset requiring sophisticated management frameworks and compliance capabilities. The ability to design and implement enterprise-level data systems directly impacts organizational capability to leverage AI and analytics for competitive advantage. Product management skills combined with technical data science knowledge create unique value proposition in the market, as most professionals specialize in one area or the other. This combination enables effective translation between technical capabilities and business requirements, making such professionals indispensable for digital transformation initiatives. Stakeholder management and executive communication abilities are critical for success in this role, as it requires building consensus among diverse groups including technical teams, business leaders, and external customers. The ability to influence without direct authority and drive adoption of new technologies and processes is essential for delivering measurable business outcomes.

Beneficial Skills

Advanced machine learning and AI algorithm knowledge would enhance the ability to evaluate and recommend cutting-edge solutions for complex logistics and operational challenges International business experience and cultural competency would be valuable given FedEx's global operations and the need to work across diverse markets and regulatory environments Change management expertise would be beneficial for driving adoption of new data governance practices and AI initiatives across large, established organizations with complex stakeholder groups Financial analysis and business case development skills would strengthen the ability to quantify ROI and secure investment for data science and AI initiatives

Unique Aspects

Rare combination of data science and product ownership responsibilities providing comprehensive experience in both technical implementation and business strategy development
Opportunity to work with massive-scale operational data from global logistics networks, offering unique insights into international business operations and supply chain optimization
Direct access to executive leadership and strategic decision-making processes within a Fortune 500 company, providing exceptional visibility and career advancement opportunities
Exposure to cutting-edge AI and machine learning applications in real-world logistics scenarios with immediate, measurable business impact
International scope of responsibilities spanning multiple countries and regulatory environments, building valuable cross-cultural business expertise

Career Growth

Typical progression to senior management roles within 3-5 years given the strategic nature of the position and FedEx's global scale providing accelerated leadership opportunities

Potential Next Roles

Senior Data Science Manager overseeing multiple product lines and larger technical teams Director of AI and Analytics with enterprise-wide strategic responsibility VP of Data and Digital Transformation leading organizational digital initiatives Chief Data Officer or Chief Analytics Officer in logistics or related industries Product Management Director specializing in AI-driven products and services

Company Overview

FedEx AMEA

FedEx AMEA represents the Asia-Pacific operations of one of the world's largest express transportation companies, with extensive regional presence and significant investment in technology infrastructure to support growing e-commerce and international trade volumes in the region

Global industry leader with strong competitive positioning in the Asia-Pacific logistics market, consistently recognized for operational excellence and innovation in supply chain management solutions
Singapore serves as a critical hub for FedEx's Asian operations, providing exposure to diverse markets, regulatory environments, and business cultures while working within a sophisticated technology and logistics ecosystem
People-Service-Profit philosophy creates a supportive, growth-oriented environment that emphasizes employee development, innovation, and long-term career progression within a globally recognized brand
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