Senior Technical Product Manager Resume
2.00/5 (Submit Your Rating)
SUMMARY
- A dedicated, motivated business and data analytics manager with 13 years of experience in IT. Technical expertise and business acumen necessary to translate business requirements and objectives into scalable, highly resilient and successful system solutions. Seeking an opportunity to drive business effectiveness through making recommendations based on data findings.
TECHNICAL SKILLS
- Data Analytics and analysis, governance, modeling and data mapping, Product Management, AGILE Methodology (JIRA), SCRUM, Requirements gathering, Gap analysis, Roadmap development, Software Applications support, Maintenance and enhancements, Budget management, Cloud computing, Feature Definition, Product planning
- Analytics & Reporting, AI, Machine Learning, NLP and User Experience Research, Data warehousing, Big data, Business Intelligence, Business Analytics, AB Testing, e - commerce
- Healthcare, Pharmacy, Aviation, Banking, Insurance, Retail, Financial
- Data Analytics - TIBCO Spotfire, Jasper soft and Tableau, Business Objects and / or other BI Tools, SQL Workbench and Aginity Workbench for Redshift, Data warehousing, Microsoft Office suite, Natural Language Programming (Wordsmith), R Language, Python Scripting, VBA, C#, OOP’s concepts, SQL, AWS Redshift, Azure, Confidential, Microsoft Visio, MS Project, HTML, VB.NET, C#, VBScript, ETL, Core Java, SFDC, ELOQUA, JIRA, SVN, Eclipse, Remedy, Jenkins,Hadoop map reduce, HiveQL, PigLatin, HBase, Salesforce, Eloqua, SQOOP, Informatica, OBIEE, SSIS, R, Python,
PROFESSIONAL EXPERIENCE
Senior Technical Product Manager
Confidential
Responsibilities:
- Championed product vision, strategy, and roadmap across a highly matrixed organization.
- Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture
- Create buy-in for the developer product visions internally and with key external partners
- Work closely with UX design, data scientist and engineering teams, and other product and program managers to deliver products to market
- Drive teams toward a shared vision with velocity and possess a bias toward action in the face of ambiguity
- Translate product strategy into detailed requirements and prototypes
- Worked closely with Engineering, Marketing, Data Science, and Data Engineering teams to align on and articulate the desired requirements, roadmap, and execution plan
- Lead each of these stakeholder groups with credibility and confidence while driving consensus and delivering results
- Scope and prioritize activities based on business and customer impact
- Understood and influenced business priorities as well as technical architecture
- Spearhead product discovery and execution for large, complex projects
- Work closely with engineering teams to deliver with quick time-to-market and optimal resources
- Drive product launches including working with public relations team, executives, and other product management team members
- Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed
- Act as a product evangelist to build awareness and understanding
- Understand and discuss technical concepts, manage trade-offs, and evaluate new ideas with internal stakeholders and external partners
- Communicate with clarity and cater messages to various audiences from executives to engineers with an innate ability to reduce complex ideas down to a simple narrative
- Supported the rollout and deployment of a new platform tool to both internal employees, and external users
- Experience building and executing SaaS (Software as Service) product plans
Technical Manager/Data Analytics Manager
Confidential
Responsibilities:
- Owned strategy, product roadmap and KPI for the product area along with product leaders and cross functional stakeholders
- Aligned product strategy to company goals and drove positive business outcomes.
- Defined and built the product, partnering with data engineering to improve and build out data lake initiative
- Worked with large data sets, producing and clearly explaining data analysis findings to clients and managers using AWS Redshift and BI tools like TIBCO Spotfire, Jaspersoft and Tableau
- Ensured On-time project delivery for large, cross-functional projects
- Owned data analysis and visualization and communicate the outcomes/insights to various stakeholders to aid strategic decisions for improvements in support experience for drivers and riders
- Performed the analysis, exploring all appropriate options, and performing constant validation against existing data/reporting throughout
- Developed optimal data management and reporting practices, including best practice identification, Client network usage analysis, and missed opportunity/leakage analysis along with the predictive analysis
- Part of the Daily SCRUM Meeting and PI and retrospective meeting along with the Bi-weekly sync up with the stakeholders to update the progress
- Developed applications using Business Objects/Business Intelligence tools
- Developed and maintained databases to obtain outcome data and create dashboards and other reports. SQL development to create ad-hoc queries to meet business needs
- Report Automation- worked with IT to publish canned reports based on business needs/requests
Lead Consultant/ Technical Manager
Confidential
Responsibilities:
- Enterprise Data Lake was the Big data initiative to bring huge volumes of data from Confidential systems into Hadoop environment. The Enterprise data lake was used to provide support for various uses cases including Analytics, processing, storing and Reporting of voluminous, rapidly changing, structured and unstructured data.
- Informatica 9.6 tools and AWS Redshift was used to inject the data into Data Lake. MapReduce and Pig used for data processing and transformation. The Big Data client application played role as staging and core databases
- Oversight of incoming new work requests, assisted senior management with continuous portfolio management (status, projections, resource planning, new request monitoring), on going budget reviews (actual vs. budget analysis, projections, periodic reporting), cost projections in the future across the portfolio
- Facilitated the project forecast process for assigned teams and provided revised forecasts and variances to management on a monthly basis was a key job responsibility. This included timely reporting of actuals to forecast as well as key project changes, variances, and risks
- Developed and designed, reviewed and mentored the team on Oracle PL/SQL Scripts for Data Import/Export, Data Conversions and Data cleansing
- Mentored team for fine tuning Informatica mappings for optimum performance
- Achieved operational objectives by contributing information and recommendations to strategic plans and reviews, which included: preparing and completing action plans; implementing production change, resolving problems, identifying trends; determining system improvements
- Met financial objectives by forecasting requirements; preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions
- Managed, prioritized, did minor enhancements, break fix activities, problem management, stability analysis, etc
- Gained deep understanding and expertise in technology Oracle database and VBA
- Identified problems in existing code and looked for continuous service improvement opportunities
Confidential
Designer/Senior Associate/Tech Lead
Responsibilities:
- Created applications using VB.NET and enhancing projects for .NET applications
- Worked extensively on Win forms to create user interfaces and interactive applications
- Designed data modeling using .NET applications of new projects and reviewing high- and low-level designs
- Designed critical Confidential interfaces as per requirements
- Fixed defects and implemented change requests in the interfaces through various stages of Vendor integration testing, QA testing and User Acceptance testing
- Designed and developed Oracle PL/SQL Scripts for Data Import/Export, Data Conversions and Data cleansing