S
STelligence Company Limited
Senior/Manager Business Analyst
Skills
TableauData ScienceCybersecurityData AnalysisAISales StrategyBusiness DevelopmentDigital TransformationPower BI
2 months ago
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Important information
Contract type:
Permanent
Location:
Bangkok, Thailand
Work mode:
Hybrid
Published on:
19 August 2026
What they need
Practice Strategy
- Define the Business Consulting strategy aligned with the company's AI, GenAI, data, and automation capabilities.
- Develop consulting frameworks covering data strategy, AI/GenAI adoption, governance, and digital operating models.
- Identify and pursue consulting opportunities across industries (e.g., finance, government, manufacturing).
Delivery & Commercial Ownership
- Own consulting revenue growth, pipeline development, and key account expansion; oversee pre-sales strategy and proposal quality.
- Work with data, AI, engineering, and cybersecurity teams to ensure solutions are feasible and scalable.
- Maintain delivery quality, methodology, and customer satisfaction standards.
Advisory & Market Presence
- Advise C-level stakeholders on digital transformation, data-driven decision-making, and AI/GenAI strategy.
- Develop thought leadership and consulting materials to support market positioning.
- Represent the company at customer engagements, industry forums, and partnership discussions.
Team Building (For manager role)
- Build, lead, and mentor the consulting team.
- Develop team capability in consulting, analytics strategy, and GenAI/digital transformation advisory.
Minimum Qualifications
- 10+ years of consulting experience, including 3+ years in a leadership role for manager.
- 5+ years of experience for senior role
- Proven experience in digital transformation, data analytics, or AI/GenAI-driven solutions.
- Strong understanding of analytics, AI/GenAI, cloud platforms, and automation.
- Ability to connect technology to business outcomes.
- Experience in business development and revenue ownership.
- Strong leadership and team development skills.
Preferred Qualifications
- Technical background (e.g., data science, engineering, enterprise architecture) is a plus.
- Experience in a specific business domain or industry vertical (e.g., banking, government, retail) is a plus.
- Experience with analytics/automation tools (e.g., Power BI, Tableau, UiPath) is a plus.
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