Service Engagement Assistant Manager, Data Analytics

ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

ST Engineering Training & Simulation Systems is seeking a Service Engagement Manager, Data Analytics who will lead presales and end-to-end delivery of data analytics solutions for defence, public safety and enterprise clients.

You will act as trusted advisor to senior client stakeholders, drive strategic account growth, coordinate cross‑functional delivery teams, and provide solution architecture guidance across data pipelines, warehouses, and governance to ensure secure, scalable outcomes.

Qualifications

• Must have deep understanding of data analytics and project management.
• Experience driving presales and long-term client partnerships.
• Ability to lead cross-functional teams and govern data architectures.

Responsibilities

• Strategic account management and business development within key client accounts.
• Lead end-to-end delivery of data analytics projects, coordinating teams.
• Provide solution architecture oversight across data pipelines, data warehouses, and governance.

Skills

Strategic account management

Business development

Project delivery leadership

Data analytics

Solution architecture

Stakeholder management

Pre-sales collaboration

Job description

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values - Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture - from the people we hire, to working with each other, to our partners and customers.

About our Line of Business - Training & Simulation Systems

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact

The Service Engagement Manager, Data Analytics will be a key member of the Learning Insights and Data Analytics Division. He/she will lead the presales and delivery of our data analytics solutions and drive the expansion of our client partnerships. This is a dual-focused role where he/she will be the trusted advisor and project leader for our clients, while also acting as a key driver of business growth within those accounts. In addition, the role will provide solution architecture leadership across data platforms, cloud and infrastructure environments, ensuring proposed and delivered solutions are scalable, secure, cost-effective, and aligned with enterprise architecture and security requirements.

He/she will manage the entire client lifecycle, from securing initial project commitments to ensuring flawless execution and identifying new opportunities for partnership. The ideal candidate will possess a unique blend of project management expertise, a deep understanding of data analytics, and a talent for building and growing business relationships.

Be Part Of Our Success

Strategic Account Management & Business Development :

• Serve as the primary strategic advisor to key client stakeholders, understanding their evolving business challenges and identifying opportunities where our data solutions can provide value.
• Proactively identify and qualify new business opportunities within existing client accounts, expanding our footprint and increasing client lifetime value.
• Develop and present compelling proposals, statements of work (SOWs), and project roadmaps to secure new engagements.
• Collaborate with the pre-sales and business development teams to strategize on account growth and client expansion.
• Manage commercial aspects of the client relationship, including contract negotiations, renewals, and profitability of all engagements.

Project & Service Delivery Leadership :

• Lead the end-to-end delivery of data analytics projects, ensuring they are executed on time, within scope, and on budget.
• Act as the central liaison between the client and our internal delivery teams (data scientists, engineers, BI developers).
• Oversee project governance, including resource allocation, risk management, and quality control.
• Provide regular, transparent communication to both clients and internal leadership on project status and key metrics.
• Coach, develop and supervise team members.

Solution Architecture & Technical Governance:

• Lead the definition and validation of end-to-end solution architectures for data pipelines, data warehouses, data lakes, data lakehouses, and reporting and analytics platforms.
• Translate business and service requirements into target-state architectures, transition roadmaps, technical specifications, and implementation options across cloud, hybrid, and on-premises environments.
• Provide architectural oversight across data, application, infrastructure, integration, security, and operational layers, ensuring alignment with enterprise standards and long-term technology roadmaps.
• Lead architecture reviews and technical assurance activities, identify design risks early, and coordinate mitigation actions with clients, delivery teams, partners, and vendors.
• Guide technology selection and solution trade-offs covering scalability, performance, reliability, security, maintainability, and cost efficiency.
• Ensure solution designs address data governance, metadata, lineage, data quality, auditability, privacy, and regulatory or government security requirements where applicable.
• Oversee integration patterns for structured, semi-structured, and unstructured data, including batch, streaming, API-based, and event-dr