Principal Project Manager

Jobtailor; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor in Pune, India seeks a senior data-driven practitioner to embed analytics into delivery decisions and lead cross-functional programmes. You will coach teams, apply statistical methods, and foster a culture of evidence-based decision making across the organisation.

Responsibilities cover data-informed prioritisation, collaboration with Data/Analytics/Product teams, and building robust measurement frameworks with KPIs and experimentation.

Qualifications

• Proven ability to translate data into decisions and outcomes.
• Experience leading cross-functional, global programmes.
• Strong analytical capability with statistical methods and data science fundamentals.
• Experience in data-informed decision making and data-driven storytelling.
• Exposure to data platforms, analytics tools, or advanced BI environments.
• Mentoring teams to adopt data-led decision making.

Responsibilities

• Embed data-informed thinking into how delivery decisions are made.
• Strengthen use of inference, experimentation, and evidence-based insights.
• Coach teams to adopt meticulous, data-driven approaches.
• Coordinate across teams to support data-backed prioritisation and decisions.
• Establish and embed data-driven decision-making across programmes and delivery teams.
• Support adoption of statistical methods in business and delivery insights.
• Ensure decisions are supported by robust quantitative evidence and assumptions.
• Partner with Data, Analytics, and Product teams to improve data quality and usability.
• Lead Communities of Practice to translate data into actionable insights and frameworks.
• Apply predictive and diagnostic analytics to identify risks and bottlenecks early.
• Move from reactive reporting to forward-looking performance management.
• Drive continuous improvement through KPIs and test-and-learn approaches.

Skills

Communication

Critical thinking

Global leadership

Analytics

Decision translation

Problem solving

Capability building

Delivery governance

Enterprise programmes

Data engineering familiarity

Statistical modelling

Data-informed culture

BI tools

Mentoring teams

Tools

BI platforms

Job description

Responsibilities

• 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

• 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

Core Competencies

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 organisations.