Business Consultant (Data, AI, ML solutions)
Detail posisi
Kewajiban
Key responsibilities of this role would be to serve as the link between internal and external stakeholders of a project from both business and technical domains, such as Senior Management, Business Development, and Technical Teams.
• Take full ownership over proposal deliverables such as solution approach, scope definition, analytics roadmaps, technical proposals, POC, SLA agreements etc.
• Understand client pain points, business processes, and key decisions in order to identify relevant analytics & AI use cases that have clear value to the business.
• Map out and interpret complex business & technical requirements into a clear and comprehensive definition of project scope, while collaborating effectively with internal & external technical teams to ensure technical feasibility and solution quality.
• Effectively manage and coach others, collaborating with internal and external parties.
• Work closely with data engineers, data scientists, data analysts, and software engineers to facilitate technical planning & project implementation for end-to-end data solutions.
• Develop appropriate schedule and manday estimates that support the business objectives, timelines, resources, milestones, and project deliverables.
• Manage expectations and build trusted advisor relationships with internal and external stakeholders by regularly updating progress.
• Identify project risks and find win-win solutions for issues as they arise.
• Manage project implementation and support cross-functional delivery teams to achieve high quality deliverables within budget.
• Oversee solution lifecycle planning and progress monitoring, including presenting and negotiating milestones, deliverables, and issues to all stakeholders.
Kualifikasi
• Proven experience in data, AI, and ML solutions.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a team environment.
• Experience in project management and stakeholder engagement.
• Familiarity with data engineering, data science, and software development processes.