AI & Data Management Consultant

NTT DATA Asia Pacific

Jakarta Timur

Hybrid

IDR 876,117,049 - 1,226,563,868

Full time

14 days+
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Job summary

NTT DATA Asia Pacific is seeking a Cross Technology Technical Architect in Jakarta Timur, Indonesia. In this role, you will lead the development of AI strategies and solutions while managing AI projects from concept to execution. The ideal candidate will possess a Bachelor's or Master’s degree in Computer Science, with a minimum of five years of experience in AI and data management. This position offers a hybrid working model and the opportunity to engage with diverse clients in the financial sector.

Qualifications

  • Minimum of five years experience in AI implementation and data management.
  • Proven track record managing AI projects and delivering successful outcomes.
  • Experience in pre‑sales support and client engagement.

Responsibilities

  • Lead the development and implementation of AI strategies and solutions.
  • Collaborate with sales to identify client needs and propose AI solutions.
  • Manage end‑to‑end delivery of AI projects, ensuring they meet client requirements.

Skills

AI technologies
Data management
Statistical analysis
Predictive modeling
Problem-solving

Education

Bachelor's or Master’s degree in Computer Science, IT, Data Science

Tools

TensorFlow
IBM WatsonX

Job description

Role Overview

As a Cross Technology Technical Architect at NTT DATA, you will leverage expertise to specify and design cutting‑edge solutions across multiple technology domains. Your role centers on ensuring the successful technical design and build of custom elements that meet our clients' business needs. You lead the selection and application of design standards, guide implementation, and provide detailed advice to improve planning and operations processes.

Responsibilities
  • Lead the development and implementation of AI strategies and solutions.
  • Drive the AI initiative from concept to execution, ensuring alignment with business goals.
  • Oversee integration of AI technologies with existing data infrastructure.
  • Collaborate with sales to identify client needs and propose AI solutions.
  • Develop and deliver compelling presentations and demonstrations of AI capabilities.
  • Assist in preparation of proposals, RFPs, and other sales materials.
  • Manage end‑to‑end delivery of AI projects, ensuring they meet client requirements and timelines.
  • Coordinate with cross‑functional teams for successful project execution.
  • Monitor progress, manage risks, and ensure quality standards are met.
  • Oversee data governance, ensuring data integrity, accuracy, and security.
  • Implement data management strategies, including data quality, metadata and master data management.
  • Utilize advanced analytics tools to extract insights and support AI model development.
  • Work closely with customers to align AI initiatives with organizational goals.
  • Provide training and support to team members on AI technologies and best practices.
  • Communicate findings and recommendations to senior management and stakeholders.
  • Stay updated with latest trends and technologies in AI, data management and analytics.
  • Ensure compliance with industry standards and regulations, particularly relevant to finance.
  • Troubleshoot and resolve AI‑related and data‑related issues promptly.
  • Build and maintain strong client relationships, acting as trusted advisor.
Qualifications
  • Educational background: Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
  • Minimum of five years experience in AI implementation and data management, preferably in financial industry.
  • Proven track record managing AI projects and delivering successful outcomes.
  • Experience in pre‑sales support and client engagement.
  • Proficiency in AI technologies and frameworks such as TensorFlow and IBM WatsonX.
  • Strong knowledge of data management principles, data warehousing, and analytics.
  • Ability to analyze complex data sets and derive actionable insights.
  • Experience with statistical analysis, predictive modeling, and AI algorithms.
  • Excellent problem‑solving, attention to detail, and strong communication and collaboration skills.
  • Experience presenting complex AI and data findings to non‑technical stakeholders.
  • Certifications in AI, data management or related fields (e.g., CDMP, CBIP) are a plus.
Workplace Type

Hybrid Working.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.

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