Staff Consultant Resume

SUMMARY

Information Technology professional with Business Analyst and Project Manager skills, ITIL certifications, CSPO, and experience in both waterfall and agile methodologies. Through the previous work experience have gained the flexibility and adaptability required of a matrix role as well as proficient written and oral communication skills. Being self - aware, a fast learner, and personally accountable has added to the success achieved.

PROFESSIONAL EXPERIENCE

Staff Consultant

Confidential

Responsibilities:

Business Analyst

Confidential

Responsibilities:

Gather requirements related to the Loyalty Next Generation Replacement system, specifically related to data needs.
Consolidate predecessor’s gathered requirements and clarify gaps.
Work with Information, Enterprise, and Project architects to establish the design architecture.
Serve as liaison to the Big Data team for feature offering.
Evaluate vendor’s coverage of Request for Proposal requirements.

Big Data Product Owner

Confidential

Responsibilities:

Assigned to Digital Customer group working with big data and data analytics.
Negotiate inter-team dependencies and timelines
Work with business partners, other product owners, and scrum masters to provide insights through data.
Gather and document feature requests, feature effort estimates, and feature value estimates
Manage sprint and feature backlog
Provide priority for feature work and sprint work
Troubleshoot sprint and feature roadblocks
Work with scrum master/project manager to set timelines
Communicate timelines outside of the team
Manage updates to the data ingestion process
Own digital customer big data backlog

Big Data Analyst

Confidential

Responsibilities:

Assigned to Digital Customer Program working with big data, metadata, and data quality and profiling.
Act as liaison between new internal Confidential customers to the big data team, technical and line of business, providing education and support.
Assist the product owner in gathering and documenting data analysis, modeling, and publishing requirements from business partners.
Gather user stories and requirements related to data set ingestion to support data analysis, modeling and publishing needs.
Gather user stories and requirements related to a metadata web application for the view of metadata and an interactive self-service service offering suggestion tool.
Provide education and support on the use of the metadata web application.
Manage the backlog of user stories and technical spikes.
Participate program wide two day planning event, establishing deliverable commitments for the following two month planning increment.
Assist scrum master in sprint planning through scope review and feasibility assessment.
Analysis of data quality/profiling tools for an analytics environment and for integration with metadata web service.
Decision and documentation of data profiling tool to purchase based on requirements and tool trials.
Documentation of big data ingestion, service request, data quality resolution, and code life cycle processes.