OCEEDEE is a modern Indian shoe brand delivering exquisite and contemporary silhouettes with a strong design DNA, craftsmanship, and a unique ability to 'customize for comfort'. Rooted in the realms of handicraft, we take pride in bringing designs befitting the feet of the modern woman. An experience of a constant sense of innovation, impeccable level of quality, and a shared passion for beautiful, handmade shoes, defines OCEEDEE.

Built highly scalable and reliable platform and innovative data, analytics and decisioning products to serve financial institutions, telecom, energy and media companies in their originations, customer management and collections space.Spearheaded cross BU partnerships with our consumer and business information services groups to develop joint product market fit and value propositions.Collaborated with global teams in the UK and Europe, to develop long term strategy and business cases for our products. Worked closely with our Sales and Marketing teams to develop GTM strategy and plans.Led a team of data partner integrations - API and file based integrations with various data partners to bring in data for building analytics platforms.

Led Channel and Business Partner Integrations – Build infrastructure, business processes, tools and products necessary to scale Checkr’s business through partnerships.Partners include recruitment software such as JazzHR, Greenhouse and Lever, Cloud based Applicant Tracking Systems such as Workable, Workpop, Payroll and HCM systems such as Paylocity, Zenefits.

Focus areas : - Lead a cross-functional team of Data Analysts, Data Scientists, Data Engineers in the development and support of new product initiatives spanning many internal teams- Establish the Data Product Roadmap with cross-functional teams, and internal and external stakeholders- Lead key internal strategic initiatives such as our Product Analytics (define, measure, visualize and derive insights) and external initiatives such as Customer Analytics and Insights- Drive and execute on overall Checkr Data Innovation projects

Lead the strategy for API-first and microservices approach for digital acquisition of customers through 3rd party partnerships with retailersLed the strategy for identity resolution, validation and verification of individual and small business customers.Worked with multiple vendors such as LexisNexis, EWS for identity verification solutions.Led the evaluation of API Gateways by working with vendors such as KONG, Apigee and Mulesoft. Responsibilities included vendor due diligence, feature comparison, RFP process, contracting vendor and implementation.

Conducted market research and led focus groups to identify - customer pain points and experience issues, moments of delight and points of engagementLed and developed a platform strategy to improve customer experience and improve acquisitions and engagement of our retail banking productsCollaborated with platform and engineering teams to develop “horizontal capabilities” and front end frameworksCollaborated with UX teams to create responsive experiences for the online banking and online application platformsWorked with API teams to build process automation for automated/real time account open and funding capabilities

Led a team of program managers, pipeline managers and business analysts (team of about 6) and external contracting agencies.Led the strategy to migrate the marketing assets, digital properties and mobile app/web from its old infrastructure to new infrastructureCollaborated with global engineering and design teams to redesign the digital properties for US Bank (across multiple lines of businesses) to create a consistent customer experience and interaction design for consumer, small business and commercial customersRecognized opportunities for improvements on multiple fronts as I was developing this digital ecosystem - Technology upgrades and adoption, business process optimization (and redesign in some cases), facilitate culture of change, build partnerships across multiple business units and break silos, and develop platform based ecosystems (vs the traditional application driven)