Presales Data Lead

NCS Group; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

NCS Group in Singapore is looking for a Presales Analytics Lead to join their NEXT Data team. The ideal candidate will have 8+ years of experience in delivering enterprise-level analytics solutions, along with strong presales experience managing deals above SGD1 million.

You will coach a team of Data & AI engineers, lead analytics workstreams, and create insightful narratives for clients. Strong experience in Python, MLOps, and BI tools like Qlik or Tableau is required.

This role offers a significant opportunity to impact how clients leverage AI and analytics for business success.

Qualifications

• 8+ years of end-to-end project implementation experience in delivering enterprise-level analytics solutions.
• Presales experience developing proposals and closing deals above SGD1 million.
• Extensive experience in managing scope and risks in the SDLC of delivery applications.

Responsibilities

• Coaching and growing a team of Data & AI engineers.
• Developing and promoting best practices in analysis and ML engineering techniques.
• Creating insights-rich narratives for clients, including C-suite executives.

Skills

Python

MLOps

Qlik

Tableau

Power BI

Data Management

Data Governance

Agile methodologies

Education

University degree in Computer Science or equivalent

Tools

Databricks

AWS

Azure

R

PySpark

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery by combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

We are looking for a highly driven and motivated Presales Analytics Lead to join our passionate NEXT Data team in delivering valuable insights to our clients. As a Presales Analytics Lead, you are first and foremost an engineer at heart that loves to build solutions with data and establish sound data engineering practices. You are comfortable translating clients’ business strategy and requirements into solutions underpinned by Data & Analytics, where Artificial Intelligence/ Machine Learning (AI/ML) and Business Intelligence play an integral part in our clients’ success. You are also passionate about technology, with a keen eye for data architecture and delivery approach to achieve the right business outcomes.

Leadership & Team Development

• Coaching and growing a team of Data & AI engineers, guiding them in their work to deliver impactful insights and best practices to deliver data-driven solutions.

Standards & Best Practices

• Developing and promoting best practices in analysis, information hierarchy and ML engineering techniques.
• Curating playbooks, standardized frameworks, practice guides, and other artefacts that enable practitioners to perform their work in a structured, consistent manner.

Strategic Communication & Insight Delivery

• Creating and delivering narratives that are rich in insights, data rigor, and recommendations tailored to any data customer up to and including C‑suite executives.

Business Development & Client Engagement

• Identifying opportunities to engage prospective and existing clients on enhancing or integrating AI/ML into new or existing solutions.

Project Leadership & Delivery

• Leading Analytics workstreams in large‑scale projects to design, develop, and deploy AI/ML and BI use cases.

Qualifications

• 8+ years of end-to-end project implementation experience in delivering enterprise-level analytics solutions, ideally with a university degree in Computer Science or equivalent.
• Presales experience developing proposals and closing deals above SGD1 million, where analytics platforms, Model-as-a-Service and data engineering form a significant portion of the solution.
• Extensive experience in managing scope and risks in the SDLC of delivery application enhanced with AI/ML and/or BI capabilities.
• Strong detail‑orientation and a keen sense of technology trends that could lead to business opportunities.
• Strong hands‑on experience in python coding, MLOps and an enterprise BI tool such as Qlik, Tableau or Power BI.
• Strong design and implementation skills in logical and physical data models for analytics applications.
• Advanced knowledge of performance optimization in AI/ML models and computations.
• Delivering AI/ML solutions in an Agile approach with clear approaches for risk mitigation.
• Enterprise analytics solutions such as Databricks, or coding languages such as R or PySpark.
• Leveraging on various data & analytics toolkits within cloud services like AWS or Azure.
• Data Management, Data Governance or real‑time streaming technologies.