Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
bp

Principal Project Manager

bp

Principal Project Manager driving strategic delivery and data-informed decision making at bp. Supporting teams in a hybrid work environment for projects and capability initiatives.

Posted 7/10/2026full-timePune • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capability and expertise in statistical methods, enabling data-driven decision-making and effective problem-solving. Proven ability to lead cross-functional teams and foster a culture of data-informed practices across organizations.

Highest-signal resume keywords
Statistical MethodsData-Driven Decision-MakingPredictive AnalyticsCross-Functional LeadershipAnalytical Frameworks

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical InferenceHypothesis TestingCausal InferenceData Science FundamentalsQuantitative AnalysisA/B TestingForecastingRisk ManagementData-Backed StorytellingMeasurement Frameworks
Soft Skills
Strong CommunicationCritical ThinkingProblem-SolvingTeam MotivationInfluencing Skills
Tools & Technologies
Data PlatformsAnalytics ToolsBusiness Intelligence Environments
Industry Keywords
Data-Informed Decision MakingDelivery FrameworksGovernanceEnterprise Scale ProgrammesContinuous Improvement

About the role

Key responsibilities & impact
  • Embed data-informed thinking into how delivery decisions are made
  • Strengthen the use of statistical inference, experimentation, and evidence-based insights across teams
  • Coach and support project, product, and delivery practitioners to adopt meticulous, data-driven approaches
  • Coordinate across teams, products, and regions to support impactful execution, with strong emphasis on data-backed prioritisation and decision-making
  • Establish and embed data-driven decision-making practices across programmes and delivery teams
  • Support the adoption of statistical methods (e.g., hypothesis testing, confidence intervals, causal inference) in business and delivery insights
  • Ensure key delivery decisions are supported by robust quantitative evidence and clearly stated assumptions
  • Partner with Data, Analytics, and Product teams to improve the quality, accessibility, and usability of data
  • Lead Communities of Practice and support practitioners in: Translating data into actionable insights; Structuring problem statements using analytical frameworks; Applying data science techniques to delivery, forecasting, and risk management; Strengthening data-backed storytelling and recommendations
  • Apply predictive and diagnostic analytics to identify risks and delivery bottlenecks early
  • Use data to move from reactive reporting to forward-looking performance management
  • Build trusted relationships by bringing analytical thinking and statistical difficulty to decision-making discussions, influencing interested parties through evidence-based insights
  • Drive continuous improvement through measurement frameworks with clear KPIs and statistical validation; Experimentation approaches (A/B testing, pilots, controlled rollouts); Embedding a test-and-learn approach

Requirements

What you’ll need
  • Strong communication with the ability to influence interested parties using data and evidence
  • Critical thinking combined with focus on delivery
  • Experience leading work in global, cross-functional environments
  • Strong analytical capability, including understanding of statistical methods and data science fundamentals
  • Proven track record to translate data into decisions and meaningful outcomes for organization
  • Strong problem-solving capability using structured and quantitative approaches
  • Ability to build capability, support development, and motivate teams
  • Strong understanding of delivery frameworks and governance
  • Preferred experience leading enterprise scale programmes
  • Experience in environments with established data engineering, analytics, or data science practices
  • Direct experience applying, or working closely with statistical modelling, forecasting, and predictive analytics
  • Experience working in organisations that value data-informed decision making
  • Exposure to data platforms, analytics tools, or advanced business intelligence environments
  • Experience mentoring teams to adopt data-led decision-making approaches

Benefits

Comp & perks
  • open and inclusive culture
  • great work-life balance
  • tremendous learning and development opportunities
  • life and health insurance
  • medical care package