DEandA - AIML - Project Management

Role Summary

JOB DESCRIPTION

We are looking for a high-impact Pre-Sales Lead with strong Data Engineering, Analytics, and AI/ML expertise to drive solutioning and revenue growth. This role will own pre-sales pursuits end-to-end—from qualifying opportunities and shaping win themes to creating compelling proposals, point-of-view (PoV) assets, and executive presentations. You will collaborate closely with delivery leaders, product/engineering teams, and Partners/Alliances to build differentiated data and AI solutions for our clients.

Key Responsibilities

• Lead and support data analytics and AI-focused RFP/RFI responses, including solution architecture, estimations, and proposal narratives.
• Own the end-to-end sales cycle for assigned leads with a target-driven approach—discovery, solutioning, proposal, presentations, and closure support.
• Architect high-level solutions across modern data platforms and cloud ecosystems including Databricks, Snowflake, Azure, and GCP.
• Create and maintain industry and practice Point of View (PoV) documents, case studies, whitepapers, pitch decks, and other sales collateral; support pitch evangelism.
• Engage with VP/C-level stakeholders to understand business priorities and translate them into advanced analytics and AI solutions.
• Partner with global delivery teams to communicate client context clearly and ensure strong alignment between business needs and technical solution design.
• Work closely with Partners and the Alliances team to drive joint pursuits, innovation, and market expansion initiatives.
• Demonstrate persistence and strong pursuit discipline—managing multiple prospects and driving opportunities to closure.
  
  

Required Qualifications

• 10+ years of experience in Analytics Delivery / Consulting / Pre-sales / Business Development (with strong solutioning ownership).
• Strong working knowledge of data engineering, data analytics, and AI/ML concepts and real-world application.
• Proven experience working on and winning analytics and AI RFPs.
• Experience with modern data and cloud platforms: Databricks, Snowflake, Azure, and/or GCP.
• Strong solution architecture and storytelling skills—able to simplify complex technical ideas for business audiences.
• Excellent written and verbal communication, presentation, and stakeholder management skills.
• Ability to work effectively with global/remote teams, leading collaboration across time zones.
• High ownership mindset, flexibility, and strong “go-getter” attitude with willingness to learn on the job.
  
  

Preferred Qualifications

• Industry exposure to one or more of: Retail/Consumer Goods, BFSI, Healthcare & Life Sciences (HLS), Manufacturing.
  
  

MBA / B.Tech from premier institutes.

Responsibilities

Presales Support Lead

Qualifications

Presales Support Lead

About Us

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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