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Big Data Program Management Consultant Resume

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SUMMARY

  • Senior Leadership in Big Data Analytics & Business Intelligence. Author of 12 Lessons in Big Data and 52 - Think for the Best (Leadership). Speaker on Big Data Analytics, Data Quality Management, Project, Program and Portfolio Management. Leading teams to achieve optimal results and revenue to top & bottom line through efficiency discovery (Change Management.) Holds a track record of recruiting top talent and turning around poor performing assets.
  • Successfully managed complex projects with global implementation, and rapidly evolving requirements within HIPPA and SOX regulations
  • Effective communication skills and record for coordination between globally located teams
  • Program delivery under stringent time lines and high-quality requirements managing budgets (opex, and capex)
  • Exceptional ability to maintain and build client relationships, frequent travel meeting one on one with clients, able to comfortably converse with all facets in the client’s organization
  • Define program requirements; identify the risk, and providing baseline acceptance criteria and deliverables
  • Excellent verbal and written skills, especially in presenting findings to both technical and non-technical audiences
  • Thorough Understanding of Software Development Life Cycle (SDLC), involved in various phases: Requirements, Analysis/Design, Development, Testing and Delivery; Sprint Time boxing, Daily Scrum and Product Management
  • Project Management, Project Schedule, Project Tracking and Team Management
  • Proficient in Scrum, Agile and Waterfall methodologies
  • Extensive experience building and managing portfolios, hiring/managing/leading project managers and staff
  • Manages procurement processes involving legal, security, compliance teams

PROFESSIONAL EXPERIENCE

Confidential

Big Data Program Management Consultant

Responsibilities:

  • Turnaround Program Leadership for the Mortgage Servicing Platform (MSP) conversion.
  • The effort had stalled and was without DAIC management.
  • Developed and negotiated new timeline and approach playbook.
  • Oversight of 42 work streams of an $85 million first year effort. Shifted teams from Agile to Waterfall.

Confidential

Big Data - Analytics Consultant

Responsibilities:

  • Negotiated with leaders across ten state health plans for the benefit of the adoption & usage of an unable to contact reporting system built upon Big Data Analytic outcomes.
  • Establishing Portfolio & Program Management (building of the PMO) of the Global Shared Services and Innovation projects to completion for the world's largest auto financing organization in North America.
  • Executing the Innovation Program of Business Intelligence Global Shared Services, Mobility, Connected Car, Telematics, and Internet of Things (IOT) establishing procurement activities across partners (vendor, legal, compliance, security) in Europe and Asia.
  • Establishing PMO principles within the fast growing, banking and finance business intelligence group, turning around projects (change management) to deliver on time and budget including data quality management.
  • Developed BI Program Center of Excellence concept.
  • Authored Speech Analytics Assessment describing the mitigation of issues and risks related to the tasks of voice acquisition through to reporting (6 terabytes / day voice, 600 gigabytes / day converted text) that serves as the showcase project of Big Data capabilities within BI. Engaged as a program consultant to deliver from concept to product used by VP and Director level staff to improve the quality of customer experience (CX).

Confidential

Big Data Sr. Consultant

Responsibilities:

  • Established program oversight ($4mil) of Confidential 's Big Data ETL program with Confidential Data Lakes before during & after the Confidential & Confidential acquisition of Confidential . Delivered on time and under budget (capex and opex.) The big data sets included viewing habits, payment information, marketing responses to sales campaigns, call data and other activities related to entertainment acquisition.
  • Product Management: Collaborate with product management as the field validation from solutions/sales engineering around product direction pertaining to Big Data/Hadoop, IoT and Cloud deployments Reported out activity, efforts and risks to the Confidential CIO and the VP of Business Intelligence, escalating issues as required. Consulted in the establishment & improvement of the Business Intelligence PMO.

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