Radhika Acharya

Led the product strategy and roadmap for CSPM & External Integrations within the Prisma Cloud platform, a comprehensive Cloud Native Application Protection Platform (CNAPP).

Key Achievements in Prisma Cloud :

• Spearheaded the design and development of AI-powered features within Prisma Cloud, including:
• AI-Powered Ingestion: Streamlined security data collection and analysis and recommended Ingestion of API to customers.
  AI-Powered Policy Recommender System: Leveraged AI to analyze security posture and recommend optimal security policies for diverse cloud environments.
  AI-Powered Compliance Recommendations: Utilized AI to identify compliance gaps and recommend actions to achieve regulatory adherence across cloud deployments.
  
• Championed the development of workflow management features for automated incident response. These features included: Smart Alert Routing: Implemented intelligent alert routing based on severity and context, ensuring alerts reach the appropriate security teams for faster resolution.
  
• Launched Cloud Orchestration and Assisted Remediation: Led the product launch of a new feature that automates security workflows for cloud infrastructure. This feature empowers security teams to orchestrate remediation actions and expedite incident response.

Improved Integration Customer Satisfaction:

• Increased Customer Satisfaction Score (CSAT) for Integrations: Implemented strategies (e.g., improved documentation, streamlined workflows) that led to a 10 % increase in CSAT scores for customers leveraging Prisma Cloud's external integrations.
• Reduced Integration Support Tickets: Streamlined integration processes, resulting in a 50% decrease in support tickets logged by customers related to integration issues.
• Faster Integration Resolution Time: Improved integration stability and troubleshooting resources, leading to a 80% decrease in the average time to resolve customer support tickets related to integrations.

Additional Achievements:

• Championed the launch of IBM Cloud as a supported cloud type within Prisma Cloud, expanding the platform's multi-cloud capabilities and enabling secure deployments across a wider range of cloud environments. This launch resulted in a significant increase in Prisma Cloud adoption by IBM Cloud customers, growing the user base from 1 to 12 within 3 quarters (as previously mentioned).
• Owned all external integrations for Prisma Cloud, ensuring seamless connectivity with key security and DevOps tools. This involved defining integration requirements, collaborating with third-party vendors, and conducting rigorous security testing.
• Championed a data-driven approach to product development, leveraging user feedback, Competitive Analysis, threat intelligence, and platform telemetry to identify security gaps and prioritize features that address them.
• Collaborated with cross-functional teams (engineering, security architects, sales) to ensure the product aligns with customer needs, integrates seamlessly with existing Prisma Cloud offerings, and meets rigorous security standards.
• Owned the product lifecycle from ideation to launch, driving user adoption through intuitive design, comprehensive documentation, and engaging user training programs.
• Spearheaded the development of go-to-market strategies for new Prisma Cloud features, increasing product awareness and driving sales growth.

• Led the product development of a new logistics platform for Robert Bosch, focusing on improving supply chain efficiency and visibility.
• Designed and implemented an AWS-based data pipeline to collect, store, and analyze real-time logistics data from various sources (sensors, warehouses, transportation systems).
• Utilized the data pipeline to generate insights that optimized delivery routes, reduced transportation costs, and improved inventory management.
• Collaborated with cross-functional teams (engineering, data science, operations) to ensure seamless integration of the data pipeline with the logistics platform.
• Monitored and analyzed data pipeline performance, identifying bottlenecks and implementing improvements for scalability and reliability.
• Reduced errors in data collection by 20 %. Customer satisfaction improved by 75 %.

• Led the program management and release train engineering for the development and deployment of [Specific Mobility Cloud Platform feature/product] at Robert Bosch.
• Defined the program roadmap, ensuring alignment with business goals and stakeholder needs.
• Utilized Agile methodologies (e.g., SAFe) to manage the release train, fostering collaboration between cross-functional teams (engineering, design, product) throughout the development lifecycle.
• Implemented a robust DevOps pipeline for continuous integration and continuous delivery (CI/CD) of platform updates, ensuring rapid deployment and high software quality.
• Monitored program progress and identified potential risks and dependencies. Proactively mitigated issues to keep the program on track and within budget.
• Established clear communication channels with stakeholders, providing regular updates on progress, roadblocks, and upcoming releases.
• Analyzed program metrics (e.g., velocity, lead time, defect rate) to identify areas for improvement and optimize the release train process.
• Implemented risk management strategies to mitigate potential barriers to project success.
• Implemented continuous improvement measures and improved the predictability of the agile teams from around 50% to 85%.
• Improved the business value delivery & reduced GTM time by 91%
• Won the award for 'Best Project/Program Manager' in Nov 2021.

· Part of Accenture’s Data & Cloud Strategy team.

· Built Accenture’s ‘Point of View’ on Cloud Strategy for Data with specific focus on data security on Cloud.

· Expertise in AWS Solution Architecture and its hands-on implementation.

· Participated in authoring a white paper on Data Strategy for a global financial services major.

· AWS Solution Architect involved in the hands-on migration of Hive reports to AWS Redshift via Glue. Also performed AWS Platform management functions and implemented improvements for the client using the AWS Well Architected Framework.

• Led the product management for an AI/ML-based credit card recommender system deployed on American Express's EMEA websites. This system focused on recommending the most suitable credit card options to website visitors, aiming to convert them into cardholders.
• Collaborated with cross-functional teams (data science, engineering, marketing) to define product requirements, user journeys, and success metrics.
• Worked closely with data scientists during the development of the machine learning models behind the recommendation engine, ensuring alignment with business goals and responsible AI practices. The model types deployed were GBDT, KNN & Multi-armed bandit based regression models.
• Designed and implemented A/B testing strategies to compare the performance of the recommender system against the baseline (without recommendations).
• Tracked key metrics to measure the success of the recommender system, including -Conversion Rate,Lift in Applications,Customer Acquisition Cost (CAC),Cardholder Approval Rate
• Improved Conversion rate by 5 % and reduced CAC by 10 %.
• Presented findings and recommendations to stakeholders at all levels, advocating for the continued development and optimization of recommender engine.

· Managed various major enhancements for the clients including a project of re-designing their entire ETL strategies.

· Producing high quality requirement specification documents (HLDs, BRDs & FRDs) for the solution to be proposed

· Providing functional inputs during the design of the application (Design Reviews)

· Mainly used the Waterfall model here and was involved in the creation of SOW’s for multiple RFP’s.

· Managed the scope clarification,effort estimation and burn tracking on multiple enhancements.

· Verifying Change Requests received from client and executing the same in consultation with Technical Architects

· Performing GAP Analysis & UAT to ensure that all technical & functional specifications of the product are tested & fulfilled

· Resolving queries of Developers/ QA Teams during the Development Phases of project

· Delivering Client Demos & Presentations and Proof of Concepts (POCs) to the clients

Multiple Positions for a leading real estate client based out of Europe.

Initially responsible for developing and maintaining the client's ETL & reporting requirements(until 2011)

From 2011 onwards, was a ETL team lead managing a small team of 3 developers.