Principal AIData Consultant
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Job Summary
Job Responsibilities:
Develop AI/Data strategies and support implementation in business divisions.
Drive business improvement using AI ML data platforms BI automation and related technologies.
Serve as a bridge between executives business leaders frontline managers and engineers.
Lead transformation projects with business technology and executive stakeholders.
Negotiate and build consensus among stakeholders with differing priorities.
Plan and manage project budgets while maximising ROI.
Support group-wide AI process standardisation and cross-business initiatives.
Drive implementation adoption and business outcomes for AI/Data initiatives.
Lead AI/Data initiatives across multiple business services and drive business transformation from strategy through execution.
5 years of practical experience in a strategy or general consulting firm or in a business company in DX/AI promotion.
Experience driving transformation projects involving multiple businesses or departments.
Experience serving as a bridge among executives business leaders frontline managers and engineers.
Proven ability to organize and integrate diverse opinions and expectations derive optimal solutions and lead consensus-building among stakeholders.
Ability to break down highly abstract issues into actionable roadmaps.
Ability to organize key issues and guide stakeholders toward a direction even in highly uncertain situations.
Ability to discuss AI/Data utilization regarding business outcomes rather than treating AI/Data utilization as an end in itself.
Ability to balance practical coordination based on frontline realities with storytelling that resonates with executives.
Perspective of horizontal deployment standardisation and systemization rather than focusing only on local optimization.
Ability to move things forward even when conditions are not perfect with a Get Things Done mindset.
Aspiration to lead a team in the future while continuing to deliver results as an individual contributor.
Preferred Qualifications:
Management experience with a team of five or more members.
Experience with stakeholder management within global or multinational teams.
Track record of driving business improvements using AI machine learning data platforms BI automation and related technologies.
Experience working end-to-end beyond PoC including production implementation operational adoption and KPI improvement.
Experience driving initiatives from an internal consulting CoE or Transformation Office position.
Experience managing or planning departmental budgets.
Required Skills:
Job Responsibilities: Develop AI/Data strategies and support implementation in business divisions. Drive business improvement using AI ML data platforms BI automation and related technologies. Serve as a bridge between executives business leaders frontline managers and engineers. Lead transformation projects with business technology and executive stakeholders. Negotiate and build consensus among stakeholders with differing priorities. Plan and manage project budgets while maximising ROI. Support group-wide AI process standardisation and cross-business initiatives. Drive implementation adoption and business outcomes for AI/Data initiatives. Lead AI/Data initiatives across multiple business services and drive business transformation from strategy through execution. 5 years of practical experience in a strategy or general consulting firm or in a business company in DX/AI promotion. Experience driving transformation projects involving multiple businesses or departments. Experience serving as a bridge among executives business leaders frontline managers and engineers. Proven ability to organize and integrate diverse opinions and expectations derive optimal solutions and lead consensus-building among stakeholders. Ability to break down highly abstract issues into actionable roadmaps. Ability to organize key issues and guide stakeholders toward a direction even in highly uncertain situations. Ability to discuss AI/Data utilization regarding business outcomes rather than treating AI/Data utilization as an end in itself. Ability to balance practical coordination based on frontline realities with storytelling that resonates with executives. Perspective of horizontal deployment standardisation and systemization rather than focusing only on local optimization. Ability to move things forward even when conditions are not perfect with a Get Things Done mindset. Aspiration to lead a team in the future while continuing to deliver results as an individual contributor. Preferred Qualifications: Management experience with a team of five or more members. Experience with stakeholder management within global or multinational teams. Track record of driving business improvements using AI machine learning data platforms BI automation and related technologies. Experience working end-to-end beyond PoC including production implementation operational adoption and KPI improvement. Experience driving initiatives from an internal consulting CoE or Transformation Office position. Experience managing or planning departmental budgets.
