Principal Project Manager
New
IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- Project ManagementData AnalysisStakeholder managementA/B testing
Requirements
- Extensive experience (typically 10+ years) in project or programme management, including leading enterprise-scale, cross-functional initiatives.
- Strong background in data-driven delivery environments with solid understanding of statistical methods, analytics, or data science fundamentals.
- Proven ability to translate complex data into actionable business decisions and measurable outcomes.
- Experience working with global teams in large, matrixed organisations and influencing senior stakeholders through evidence-based insights.
- Strong knowledge of delivery frameworks, governance models, and agile or hybrid methodologies.
- Familiarity with experimentation techniques such as A/B testing, hypothesis testing, forecasting, or predictive analytics.
- Excellent communication, leadership, and coaching skills with the ability to build capability and drive cultural change.
- Preferred: Degree in a quantitative field (Statistics, Mathematics, Engineering, Data Science) and/or PMI or equivalent certification.
Responsibilities
- Drive enterprise-level delivery orchestration across multiple teams, regions, and programmes, ensuring alignment with strategic objectives and data-backed prioritisation.
- Embed data-driven decision-making practices across delivery teams, promoting the use of statistical methods, experimentation, and quantitative insights.
- Partner with Data, Analytics, and Product teams to enhance data quality, accessibility, and usability for better business outcomes.
- Lead capability-building efforts by coaching teams in analytical frameworks, hypothesis-driven thinking, and data storytelling.
- Strengthen risk and performance management by applying predictive and diagnostic analytics to identify issues early and improve forecasting accuracy.
- Champion continuous improvement through experimentation approaches such as A/B testing, pilots, and structured test-and-learn methodologies.
- Influence senior stakeholders by presenting evidence-based insights that improve decision quality and organisational outcomes.
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