The Role
Own cross-functional process excellence, analytics, automation, and technology programs for Operations. Identify inefficiencies, build ROI and productivity models, automate reporting and workflows using SQL and Python, develop dashboards and analytical frameworks, and partner with Product and Tech teams on requirements, implementation, UAT, and adoption. Measure improvements in cost, productivity, capacity, quality, SLA adherence, data accuracy, and scalability.
Summary Generated by Built In
Program & Analytics Manager – Process Excellence & Automation
Location: Gurugram (Onsite) | Experience: 4-6+ Years | Function: Operations / Program
Management / Analytics
Reporting to: Director – Operations
Timing: 6 PM - 03 AM (US Business Hours)
About the Role
We are looking for a strong Program & Analytics Manager who can combine data, process
excellence, technology, and business execution to improve the efficiency, scalability, and cost-
effectiveness of our Operations. The role will own key process improvement and analytics programs, identify operational inefficiencies, drive automation, build data-driven solutions, and work closely with Product, Tech, and Operations teams to solve complex business problems.
The ideal candidate is a hands-on problem solver who can work with SQL, Python, Excel, BI tools, and AI tools while also having the ability to drive cross-functional programs from problem identification → solution → implementation → measurable impact.
Key Responsibilities
Process Excellence & Program Management
- Identify bottlenecks, inefficiencies, manual dependencies, quality gaps, and cost leakages
- across Operations.
- Drive process improvement and automation initiatives with clear milestones, owners,
- KPIs, and business outcomes.
- Analyze processes, identify root causes, and design scalable operating models.
- Identify and implement opportunities to improve productivity, TAT, quality, utilization, and cost efficiency.
- Build business cases and ROI analysis for process improvement and automation initiatives.
- Track initiatives through implementation and measure the actual business impact.
Analytics, Reporting & Data
- Analyze large and complex datasets to identify trends, patterns, anomalies, and improvement opportunities.
- Develop automated reports, dashboards, scorecards, and management MIS.
- Build analytical models for capacity planning, productivity, cost, forecasting, and operational performance.
- Develop and maintain data collection, reporting, and analytical frameworks.
- Perform data extraction, cleansing, validation, reconciliation, and quality checks.
- Ensure data integrity, consistency, normalization, and reliability across reporting systems.
- Translate business problems into clear data requirements, KPIs, and analytical solutions.
Automation, AI & Technology
- Use Python and SQL to automate repetitive analysis, reporting, reconciliation, and operational workflows.
- Identify opportunities to eliminate manual processes through automation and technology.
- Leverage AI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, etc. to improve productivity, analytics, reporting, RCA, and process automation.
- Work with Tech teams to convert operational requirements into scalable technology solutions.
- Evaluate new AI/automation tools based on business impact, scalability, and ROI.
Product & Tech Collaboration
- Act as the bridge between Operations, Product, and Engineering/Tech teams.
- Convert operational pain points into structured product and technology requirements.
- Partner with Product and Tech teams on requirement gathering, prioritization, UAT, implementation, rollout, and adoption.
- Evaluate changes to source production systems and assess their operational and analytical impact.
- Measure the impact of technology initiatives using data and business KPIs.
Cost & Productivity Management
- Develop and maintain cost, productivity, capacity, and utilization models.
- Identify opportunities to reduce operating costs while maintaining quality and SLA.
- Analyze manpower utilization, productivity, cost per unit, capacity, and process efficiency.
- Build scenario models to support manpower planning, automation, outsourcing, and scalability decisions.
- Provide leadership with clear visibility into cost, capacity, productivity, and improvement opportunities.
What Success Looks Like
- The person should deliver measurable improvements in:
- Cost per unit / operating cost
- Productivity and capacity utilization
- TAT and SLA adherence
- Automation and reduction in manual effort
- Quality and reduction in rework
- Data accuracy and reporting visibility
- Process scalability
- Successful Product/Tech initiatives
- Identification and realization of cost-saving opportunities
We are not looking for someone who only tells us what happened. We need someone who can identify why it happened, define what needs to change, build or drive the solution, and measure the impact.
Skills Required
- 4-6+ years of relevant experience
- Experience with SQL
- Experience with Python
- Experience with Excel
- Experience with BI tools, reporting, dashboards, and analytics
- Experience in process improvement, automation, and program management
- Experience partnering with Product, Engineering, Tech, and Operations teams
- Experience with AI tools such as ChatGPT, Claude, Gemini, or GitHub Copilot
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
One of the biggest pain points for any online seller is to showcase their products in the best possible manner to grab customer attention and increase conversions. Spyne is transforming the way businesses create their catalog using state-of-the-art AI technology. No studio. No photography skills. No complex processes. Just Spyne to create stunning catalogs that drive 40% better conversions. We are building first-of-its-kind AI that would transform the way businesses will create high-impact catalogs without the need for a physical studio. We are building computer vision and AI technology to automate image processing workflows. This will help any business or marketplace shoot, edit, and publish product visuals at scale, at a fraction of the cost, and time. We are helping large e-commerce marketplaces in the automotive, food, fashion, real estate, and retail industry create and upgrade high-quality visual catalogs at scale. Founded in 2018, Spyne is headquartered in Gurugram, India serving 80+ customers across 15+ countries including Amazon India, Karvi, OLACars, and The Luxury Closet Dubai. We are backed by Accel Partners, Storm Ventures, and other marquee investors.
