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bp

Principal Project Manager

bp

Principal Project Manager at bp operating at a strategic level driving data-driven decision making across teams. Coordinating delivery and enforcing data-backed prioritisation with a focus on continuous improvement.

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 evidence-based insights across organizations.

Highest-signal resume keywords
Statistical ModellingForecasting and Predictive AnalyticsData-Driven Decision-MakingA/B TestingStrong Communication

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Statistical MethodsData Science FundamentalsQuantitative AnalysisHypothesis TestingCausal InferenceMeasurement FrameworksAnalytical FrameworksRisk ManagementData-Driven ApproachesExperimentation Frameworks
Soft Skills
Critical ThinkingProblem-SolvingInfluencing SkillsTeam MotivationCoaching
Tools & Technologies
Data PlatformsAnalytics ToolsBusiness Intelligence Environments
Certifications & Qualifications
PMI CertificationAdvanced Degree in Quantitative Field
Industry Keywords
Data-Informed Decision MakingCross-Functional EnvironmentsDelivery FrameworksEnterprise 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 a 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
  • Apply predictive and diagnostic analytics to identify risks and delivery bottlenecks early
  • 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)

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 an 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, Experimentation frameworks (A/B testing, hypothesis testing)
  • Experience working in organisations that value data-informed decision making
  • Exposure to data platforms, analytics tools, or advanced business intelligence environments
  • Experience mentor teams to adopt data-led decision-making approaches
  • Education Degree or equivalent experience in Statistics, Mathematics, Data Science, Engineering, or a related quantitative field
  • Advanced degree or equivalent experience (e.g., MSc or PhD) in a quantitative field preferred
  • PMI or equivalent certification preferred

Benefits

Comp & perks
  • an open and inclusive culture
  • a great work-life balance
  • tremendous learning and development opportunities to craft your career path
  • life and health insurance
  • medical care package
  • flexible working options
  • collaboration spaces in a modern office environment
  • many others benefits