Principal project manager

bp

Pune, INhybridPosted Jul 3, 2026
Posting intelligenceActively listedReposted 6×, possible evergreen/ghost posting

Skills

hypothesis

About the role

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

At bp, we provide an excellent working environment and employee benefits such as 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 and many others.

Let me tell you about the role

A Principal Project Manager at bp operates at a strategic and enterprise level, driving effective delivery across programmes, platforms, and capability initiatives.

In addition, this role helps advance data-driven decision making across the business field.

The successful candidate will:

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

This role goes beyond coordinating delivery - it helps invent how decisions are made, validated, and communicated across the organisation.

What you will deliver

Enterprise delivery orchestration

Coordinate across teams, products, and regions to support impactful execution, with a strong emphasis on data-backed prioritisation and decision-making.

Data-led decision enablement

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

Practitioner capability & coaching

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

Insightful risk and performance management

Apply predictive and diagnostic analytics to identify risks and delivery bottlenecks early

Use data to move from reactive reporting to forward-looking performance management

Stakeholder engagement and influence

Build trusted relationships by bringing analytical thinking and statistical difficulty to decision-making discussions, influencing interested parties through evidence-based insights.

Continuous improvement and transformation

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

What you will need to be successful

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

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

We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits.

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Benefits Management, Business Analysis, Business modelling, Client Counseling, Cloud Platforms, Configuration management and release, Data Analysis, Data design, Data Management, Demand Management, Design Thinking, Dialogue enablement, Digital Innovation, Digital Product Management, Employee Experience, Empowering Others, Facilitation, Influencing, Long Term Planning, Managing change, Marketing strategy, Measurement and metrics {+ 5 more}

Legal Disclaimer:

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Legal Disclaimer:

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. job description

Disclaimer

This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers’ discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.

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