Pidilite - Senior Data Scientist/Senior Manager - Sales & Marketing Analytics

SUMMARY

We are seeking an experienced and business-focused Senior Data Scientist / Senior Manager - Sales & Marketing Analytics to lead enterprise-wide analytics initiatives and drive measurable business impact through advanced analytics, Artificial Intelligence, and data-driven decision-making.

This role will be responsible for defining the analytics vision, building scalable AI and machine learning solutions, translating complex data into actionable business insights, and partnering with senior leadership to drive strategic outcomes across Sales and Marketing functions.

The ideal candidate will possess a strong blend of technical expertise, business acumen, stakeholder management capabilities, and leadership experience in scaling analytics teams and solutions.

TECHNICAL SKILLS

- Predictive Modeling

- Statistical Analysis

- Machine Learning

- Deep Learning

- Forecasting & Optimization

- Generative AI (GenAI)

- Natural Language Processing (NLP)

- Computer Vision & Image Analytics

- Recommendation Systems

- AI Solution Deployment & Scaling

- Python

- SQL

- R (Preferred)

- Cloud Analytics Platforms

- Business Intelligence & Visualization Tools

- Data Engineering and Analytics Ecosystems

KEY RESPONSIBILITIES

Analytics Strategy & Roadmap

- Define and execute the Sales & Marketing Analytics roadmap aligned with organizational objectives.

- Identify high-impact opportunities where analytics and AI can accelerate business growth.

- Establish long-term analytics capabilities and frameworks to support strategic decision-making.

- Ensure alignment between analytics initiatives and key business priorities.

Advanced Analytics & AI Leadership

- Lead advanced analytics and Artificial Intelligence initiatives from proof-of-concept (POC) to enterprise-wide deployment.

- Drive the adoption of cutting-edge technologies including:

- Generative AI (GenAI)

- Natural Language Processing (NLP)

- Image Analytics

- Machine Learning (ML)

- Predictive Analytics

- Evaluate emerging technologies and identify opportunities for innovation and competitive advantage.

- Ensure AI solutions are scalable, sustainable, and deliver measurable business value.

Business Impact & Decision Support

- Convert analytical findings into actionable recommendations that drive revenue growth, operational efficiency, and customer

engagement.

- Develop frameworks to measure business impact and return on investment (ROI) for analytics initiatives.

- Support data-driven decision-making across Sales, Marketing, and leadership teams.

- Monitor key business metrics and proactively identify opportunities for optimization.

Portfolio Governance & Prioritization

- Govern the analytics project portfolio and prioritize initiatives based on business impact, feasibility, and strategic importance.

- Define project success criteria and ensure timely delivery of analytics programs.

- Track progress, risks, dependencies, and outcomes across multiple initiatives.

- Drive effective resource allocation and project management practices.

Leadership & Stakeholder Management

- Partner with senior business leaders to understand challenges and identify analytics-led solutions.

- Present insights, recommendations, and business cases to executive leadership.

- Influence strategic decisions through data-backed storytelling and business intelligence.

- Act as a trusted advisor to business stakeholders on analytics and AI opportunities.

Vendor & Partner Management

- Manage relationships with external analytics, AI, and technology partners.

- Evaluate vendor capabilities, solution effectiveness, and delivery performance.

- Ensure successful implementation and operational excellence across outsourced engagements.

- Drive governance and quality assurance for all third-party analytics initiatives.

Team Leadership & Capability Building

- Lead, mentor, and develop a high-performing analytics and data science team.

- Foster a culture of innovation, continuous learning, and analytical excellence.

- Support talent development through coaching, training, and career progression initiatives.

- Build capabilities across advanced analytics, AI, machine learning, and business consulting.

Data Platforms & Scalable Solutions

- Drive the development of scalable analytics platforms and standardized reporting frameworks.

- Establish best practices for analytics development, deployment, governance, and monitoring.

- Ensure data quality, consistency, and accessibility across business functions.

- Promote reusable analytics assets and enterprise-wide standardization.

QUALIFICATIONS & EXPERIENCE

Educational Qualification

- Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, or related field.

- Master's degree / MBA preferred.

Experience

- 8+ years of experience in Analytics, Data Science, Business Analytics, or related domains.

- Demonstrated experience in Sales & Marketing Analytics.

- Proven track record of building and scaling AI/ML solutions in enterprise environments.

- Experience managing analytics teams and complex stakeholder ecosystems.

REQUIRED COMPETENCIES

- Strong business acumen with expertise in Sales & Marketing functions.

- Exceptional analytical and problem-solving capabilities.

- Strong stakeholder management and influencing skills.

- Executive-level communication and presentation abilities.

- Strategic thinking with a focus on measurable business outcomes.

- Experience leading cross-functional teams and enterprise initiatives.

- Strong project and portfolio management capabilities.

SUCCESS METRICS

- Delivery of measurable business impact through analytics initiatives.

- Successful scaling and adoption of AI/ML solutions.

- Improved sales, marketing, and customer engagement performance.

- Analytics ROI achievement and value realization.

- Stakeholder satisfaction and executive adoption of insights.

- Development and retention of a high-performing analytics team.

- Standardization and scalability of analytics platforms and solutions.

PREFERRED CANDIDATE PROFILE

- Strategic analytics leader with a strong blend of technical and business expertise.

- Passionate about leveraging AI and advanced analytics to solve business challenges.

- Proven ability to influence senior leadership and drive organizational change.

- Experience leading large-scale analytics transformations.

- Strong people leader with a track record of building high-performing teams.