Senior Manager - Planning

Swiggy; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Swiggy is seeking a Growth Analytics professional to own city-level conversion and discount levers for India Next, covering 700+ Tier 2/3 cities and aiming for +2pp conversion by March exit. You will collaborate with Product, Data Science, Finance and Ops, driving real-time interventions and AI-powered insights across city teams.

The role requires Advanced SQL, Excel, and 3–6 years in growth analytics at a consumer internet or food-tech company, with ownership of high-impact growth levers and

Qualifications

• Advanced SQL and Excel are mandatory; you pull, model and read data independently.
• Gen-AI expertise and experience building AI copilots or workflows.
• 3–6 years in growth, category, strategy or analytics at a consumer internet or food-tech company.
• Ownership of a conversion, pricing or discount lever with measurable impact.
• Experiment design: A/B tests, pilots, incrementality reads.
• Bias to action: ships fixes in hours or days under real-time pressure.
• Clear communication with city leaders and senior stakeholders.

Responsibilities

• Own city-level conversion goals and related projects end-to-end.
• Partner with Product on conversion levers such as search and payment options.
• Track Swiggy One penetration and its impact in India Next cities.
• Design and execute real-time pricing responses to competitive moves.
• Lead Gen-AI adoption and build self-serve dashboards and RCA copilots.
• Manage cross-functional growth projects with Product, Engineering and DS.

Skills

Growth analytics

SQL

Excel

Gen-AI

Ownership

Experiment design

Communication

Education

MBA

Engineering degree

Tools

Python

Tableau

Looker

Streamlit

Excel

Job description

Job Description:

Company Description

About Swiggy

Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.

From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.

Job Description

About the Role

You will own conversion and real-time growth levers for Swiggy Food across India Next - 700+ Tier 2/3 cities - with a headline goal of +2pp conversion by March exit.

The India Next Growth team drives OPD, unit economics and competitive response for Swiggy's fastest-growing city cohort. This role sits at the centre of that charter: you will run city-level conversion programs, manage discount and delivery-fee levers in real time, turn Zomato intelligence into counter-moves, and ship new growth experiments. You will also lead Gen-AI adoption across the team so insights and interventions move faster than the market.

You will work closely with city leaders (CLBHs / CHs), Product, Data Science, Business Finance, Engineering and Ops.

Key Responsibilities

1. Conversions, delivery-fee revenue & projects (30%)

Own the +2pp conversion goal end to end, grow delivery-fee revenue without hurting conversion, and deliver the charter's key projects.

KPIs: +2pp conversion by March exit · M2O / F2M · cancellation, RDC and O2A rates · BF / LN slot conversion · delivery-fee revenue per order · projects delivered on time and at impact

• Run Project Compass: set city-level conversion goals, identify drivers and land interventions with city teams.

• Partner with Product on conversion levers - Search, payment options (UPI / COD) and COD demand-shaping.

• Track and lift Swiggy One penetration and its conversion impact in India Next cities.

• Fix CX and ops-stress gaps: PSLA vs ASLA, WBS / GD / last-mile capping and long-tail city serviceability planning.

• Improve the funnel — M2O, F2M, null-search and menu relevance (FVO).

• Cut cancellations, RDC and O2A through COD controls and item stockout / availability fixes.

• Grow breakfast and late-night slot conversion.

• Delivery-fee revenue: grow delivery-fee revenue per order through fee constructs, rain / surge / platform-fee realisation and city-level fee tiers, balanced against conversion impact.

• Projects: own cross-functional growth projects end to end with Product, Engineering and Data Science, from scoping to rollout across cities.

2. Discount strengthening & real-time interventions (30%)

Get more incremental orders from every rupee of discount and delivery-fee spend.

KPIs: iOPD and ₹ per iOPD efficiency · delivery-fee / free-del cost vs budget · CPiO

• Deploy non-discount and NAT strengthening on the right restaurants to arrest churn and counter competitor aggression.

• Own delivery-fee and free-delivery strategy and configs: rain fee, platform fee, Black Zones and city free-del requests.

• Plan surges and ship fast-turnaround growth fixes for city requests.

• Manage stress events — supply-state changes, LD optimisation and GD configs.

• Run real-time pricing responses to competitive moves.

3. Competitive intelligence (10%)

Turn Zomato scraping into decisions city teams act on.

KPIs: D-Score coverage and cadence · adoption of CI-led actions by city teams

• Own D-Score coverage and cadence, and use it to steer city discounting.

• Publish delivery-fee, D-Score and market-share reads on a regular email cadence.

• Translate CI into pricing and strengthening counter-strategies.

4. New growth ideas (20%)

Find the next Black Zones.

KPIs: iOPD from new ideas · experiments shipped · win-rate and scale-up

• Spot growth opportunities across cities and categories.

• Design and run pilots fast; kill losers and scale winners.

• Keep a continuous pipeline of city-level growth constructs.

5. Gen-AI for growth (10%)

Make the team faster with AI.

KPIs: AI use-cases live · AI-led insights · hours saved · automation coverage

• Lead Gen-AI use-cases across all growth charters.

• Build self-serve dashboards and RCA copilots.

• Upskill the team and institutionalise AI SOPs.

Qualifications

What We're Looking For

Must-have

• Advanced SQL and Excel (mandatory) — you pull, model and read data yourself, without depending on an analyst.

• Hands-on Gen-AI (mandatory) — you have built LLM workflows, copilots or AI-led automations, not just used chat tools.

• 3-6 years in growth, category, strategy or analytics at a consumer internet, quick-commerce, food-tech or marketplace company.

• Ownership of a conversion, pricing or discount lever with measurable impact.

• Experiment design — A/B tests, pilots, incrementality reads.

• Bias to action: ships fixes in hours or days, not quarters, under real-time pressure.

• Clear communication with city leaders and senior stakeholders.

Good to have

• Python, dashboarding (Tableau / Looker / Streamlit) or automation experience.

• Experience with Tier 2/3 or Bharat markets.

• Exposure to competitive intelligence, pricing or delivery-fee strategy.

• Tier-1 engineering / MBA background, or an equivalent track record.

Additional Information

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law

Visit our tech blogs to learn more about some the challenges we deal with:https://medium.com/swiggy-bytes

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

• Team: Sales Operations and Planning
• BusinessUnit: Food Marketplace
• Department.: India Next

Requirements: