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Service Engagement Manager, Data Analytics Job Opening In Singapore, Singapore – Now Hiring ST Engineering


Job description

Title: Service Engagement Manager, Data Analytics

Job ID: Location:

ST Electronics Hub, SG

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 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 segment.

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 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.

Managing 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.
  • Data Management Lifecycle and Analytics Expertise:

  • Possess a strong understanding of the data Management lifecycle and analytics landscape, including technologies, methodologies, and market trends.

  • Translate complex business needs into technical requirements, and articulate the value of our solutions in a clear, compelling manner.

  • Act as an internal resource, providing guidance to delivery teams on client-specific business context and priorities.
  • Qualities We Value 


    Qualifications and Experience

  • Professional Experience: A minimum of 7 years of experience in a client-facing role, including significant experience in both project delivery and business development.

  • Data Management Expertise: At least 7 years of experience in Enterprise Data Management.

    This includes a deep understanding of the data management lifecycle and data analytics services such as Business Intelligence, data warehousing, and machine learning.

  • Implementation Experience: Managed at least 3 to 5 end-to-end implementations of data warehouses, data lakes, or data visualization projects.
  • Technical Skills

  • Data Technologies: Proficient with at least one of the following technologies: Informatica, SSIS, SQL, SQL Server, Azure Data Factory, Data Warehouse, or ETL Framework.

  • Visualization & BI Tools: Excellent knowledge of Power BI, Qlik Sense, MicroStrategy, SAS, and Tableau.

  • Cloud & Big Data (Preferred): Knowledge of AWS/Azure/Google Cloud services, Hadoop Ecosystem, Data APIs, Unstructured Data, and Data Modelling is a plus.
  • Professional & Interpersonal Skills

  • Communication & Leadership: Exceptional communication, negotiation, and presentation skills.

    Proven ability to lead multiple teams, manage complex relationships, and navigate difficult conversations.

  • Problem-Solving: Strong problem-solving, quantitative, and analytical abilities.

  • Project Management: Experience with project management methodologies (e.g., Agile) and tools (e.g., Jira, Salesforce).

  • Stakeholder Management: Excellent stakeholder management and influencing skills, covering colleagues, partners, and vendors.

  • Mindset: A client-centric, outcome-driven, and quality-focused team player.

    Must be a self-starter with a proactive, entrepreneurial mindset, capable of working independently to achieve strategic objectives.

  • Resilience: Demonstrated ability to effectively work under pressure, especially during high-demand project lifecycles.
  • Our Commitment That Goes Beyond the Norm

  • An environment where you will be working on cutting-edge technologies and architectures.

  • Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.

  • Meaningful work and projects that make a difference in people’s lives.

  • A fun, passionate and collaborative workplace.

  • Competitive remuneration and comprehensive benefits.
  • Required Skill Profession

    Operations Specialties Managers


    • Job Details

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    Unlock Your Service Engagement Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ST Engineering adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Singapore laws and regulations

    What Is the Average Salary Range for Service Engagement Manager, Data Analytics Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Service Engagement Manager, Data Analytics?

    Key qualifications for Service Engagement Manager, Data Analytics typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Service Engagement Manager, Data Analytics Job Success

    ST Engineering interview tips for Service Engagement Manager, Data Analytics

    Here are some tips to help you prepare for and ace your Service Engagement Manager, Data Analytics job interview:

    Before the Interview:

    Research: Learn about the ST Engineering's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Service Engagement Manager, Data Analytics interview at ST Engineering, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ST Engineering's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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