Principal Consultant, Value Engineering
New
IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Microsoft ExcelStakeholder managementData analyticsPowerPoint
Requirements
- Master’s degree or MBA from a recognized institution, combined with a bachelor’s degree in engineering, finance, or a related field.
- 7+ years of experience in management consulting, value consulting, data analytics, data science, or related roles.
- Proven experience working with senior stakeholders, including Director and VP-level audiences.
- Strong expertise in Microsoft Excel and PowerPoint for analysis, reporting, and executive storytelling.
- Experience developing business cases, ROI models, value frameworks, or measurable outcome strategies.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to analyze large datasets and convert insights into actionable recommendations.
- Excellent communication, storytelling, and stakeholder management skills.
- Strong collaboration skills with experience working across global and cross-functional teams.
- Familiarity with AI-powered productivity tools, automation platforms, or agent-based AI solutions is preferred.
Responsibilities
- Lead value engineering engagements, including value insights, business case development, and value realization frameworks.
- Own strategic opportunities from discovery through execution, ensuring measurable outcomes and business impact.
- Develop AI-enabled solutions, including agent-based workflows, to automate data gathering, insight generation, and reporting processes.
- Analyze complex datasets from multiple sources to identify value drivers and quantify business benefits.
- Build executive-level dashboards, scorecards, benchmarking reports, and value narratives for senior stakeholders.
- Translate analytical findings into clear, compelling recommendations tailored to business objectives.
- Design scalable analytical models, reusable assets, and automated workflows to improve efficiency and repeatability.
- Develop and implement value measurement frameworks to track ROI and long-term outcomes.
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