Meta-wide Gen-AI agentic security and privacy

AMAZON ADVERTISING – MEASUREMENT AND DATA SCIENCE

Spearheaded successful launches of several advertiser-facing measurement products and features by managing teams of Engineers, Product leaders, ML Applied Scientists/ Economists and Sales/Marketing teams. Responsibilities span writing PR-FAQs/Business Reviews, Operational Planning, Development of working backwards plan, driving high judgement prioritization/trade-off decisions, tracking and mitigation of risks to unblock delivery. Some notable launches below.

• Launched a new set of metrics under the umbrella of Total-impact measurement, which combined on and off-amazon attribution metrics such as Sales, Return-on-Advertiser-Spend (ROAS).

• E2E management and delivery of Amazon Ads’ proprietary Multi-Touch attribution insights to advertisers on contribution of their upper and mid-funnel ad-strategies to campaign outcomes, thus encouraging their continued investment in full-funnel strategies. These metrics were calculated through extensive experimentation and modeling for scale, ensuring attribution credit allocation to ad-campaigns is proportional to their causal impact.

• Orchestrated development and implementation of multiple strategies for identity recovery on Google Chrome traffic and conversions to preserve measurement, in anticipation of planned rollout of 3PC opt-out feature by Google in 2025.

• Complete Product ownership and launch of multiple advertiser-facing features in Amazon Ads Brand management platform acting as advertising system-of-record for 48 M brands and 1.5 B brand hierarchies/ relationships on Neptune graph.

AMAZON RETAIL - BUYER RISK PREVENTION

• Disambiguated requirements corresponding to Payment Aggregator/ Payment Governance (PAPG) regulations proposed by Reserve Bank of India, and developed E2E compliance strategy (across 6-7 Buyer-Risk prevention stacks) to protect Amazon IN business of ~250 M per annum.

Spearheaded E2E Requirements, Analysis, Design and 100% on-schedule Delivery of business capabilities driven by Regulatory programs and Strategic Firmwide-wide change initiatives in Enterprise Risk area.

• Enabled compliance of bank to Regulatory mandates like BCBS 239 – Single Counterparty Credit Limits (SCCL), Large Exposures Reporting etc. thus alleviating the monetary and reputational risk of non-compliance.

• Ran several cross-functional Scrum teams towards delivery of complex features/ solutions as Agile Scrum Master. Advocated agile mindset across teams acting as an Agile Coach.

• Pioneered adoption of DevOps CI/CD processes across programs resulting in > 50% improvement in productivity.

Established and headed the Financial Reference Data (FRD) Adoption program, built a compelling business case and influenced LoB heads/ Senior leaders to obtain multi-year budget commitments for execution of the initiative.

• Collaborated with Tech Managers across LoBs to design and execute innovative and optimal adoption approaches by running multiple Scrum teams as Agile Scrum Master.

• Anchored Cross-LoB SteerCo and provided executive oversight on concurrent FRD adoption projects.

• Stood up a Proactive Data Quality Management program supporting FRD domain and drove down the total number of open DQ issues by ~70% by actively driving resolution of ~90 DQ issues in 12 months.

Drove E2E Requirements, Design, Analysis, Architecture and Implementation of Actimize (Vendor) Trade surveillance models/analytics in a very compressed time frame (~6 months) to satisfy Dodd-Frank Requirements.

• Developed comprehensive requirements by partnering with Actimize team and understanding Trade Surveillance models and collaborating with the Compliance officers to learn reportable scenarios.

• Orchestrated acquisition of Order/Execution/Trade data from firm's Front /Middle Office systems & Corporate data warehouses, Developed Data models, ETL processes for data transformation and integration with Actimize Surveillance analytics models (Wash, Off-Market Trading, Cancel/Correct, Front Running, Spoofing, Layering etc.).