Data Strategy Consultant Resume

SUMMARY

Leadership position enabling strategic and operational success with quality data and analytics
Twenty years building data management teams and solutions at global and Fortune 500 companies
Collaborate with business and technology stakeholders to implement impactful data & analytics initiatives
Manage operational teams of 10 - 15 and project teams of 5-50
Manage project budgets to $5 million, expense and capital budgets to $20 million
Manage contract negotiation, technology selection and licensing, customer & vendor relationships
Expertise the data life cycle including data modeling, data governance, data integration and data analysis
Expertise in the development life cycle including business analysis, solution design, quality assurance
Experience with established, big data, on premise and SaaS technologies, onsite, remote and shared services

TECHNICAL SKILLS

OBIEE, OBIA, ODI, Oracle EBS, CRM, TCA, Oracle RDBMS, Teradata, MicroStrategy, SAP Business Objects, MSSQL, SSRS, SSIS, SQL, Cognos, Qlikview, Noetix, Hyperion, Essbase, PeopleSoft, Lawson, Hadoop, Hive, Micros POS, Erwin, Visio, PowerPoint, Excel, MS Project, HPQC, Adobe/Omniture, Salesforce, Procura

PROFESSIONAL EXPERIENCE

Data Strategy Consultant

Confidential

Responsibilities:

Provide consultative and analytic services to help Confidential utilize information more effectively.
Work with business development, clinical and billing staff to understand business data needs and challenges.
Assess existing systems, processes and data quality.
Identify and quantify opportunities to increase operating efficiency, cash flow and margin.
Recommend and source technology and process solutions for data governance, data integration and analytics.
Build revenue reporting that is accurate, auditable and conforms to accounting best practices.
MSSQL Server, Power Pivot, Procura Revenue Cycle Management, Devero EHR

Director Data Governance

Confidential

Responsibilities:

Worked with business and IT leaders to establish a data governance function.
Facilitated cross functional meeting to capture needs, assess existing functionality and identify gaps.
Established a high level roadmap for data governance and detailed plans to address immediate challenges.
Developed a data management framework and formed a data governance council.
Educated senior leadership and staff on data management principles and benefits.
Applied the data management framework to improve the customer and supplier experiences, reduce supply

Business Intelligence Consultant

Confidential

Responsibilities:

Served as the business intelligence liaison to and consumer advocate for Sales, Marketing, Product teams.
Performed requirements analysis, solution design, project management, quality assurance, training and deployment for analytics initiatives designed to designed to increase streaming usage at AT&T/ Confidential .
Collaborated with Engineering and DevOps to improve product quality and time to market. Increased customer satisfaction, tool adoption and standardization of metrics.
Cognos, Qlikview, Teradata, Hadoop, Adobe Cloud

Director of Data Management

Confidential

Responsibilities:

Built data management team. Defined roles and organizational structure. Recruited talent. Implemented cross training, professional development, departmental procedures and service level agreements.
Laid out data management roadmap to support Aramark's consolidation of process and technology across lines of business. Led team of technology, business and consulting partners in discovery sessions, scoping, funding, vendor and platform selection, solution design and development.
Collaborated with IT Infrastructure team on the design and deployment of a secure, scalable and highly available data warehouse and business intelligence environment.
Formed collaborative cross functional working teams to define customer and product data consistently, identify owners, establish creation and maintenance processes, and compile data dictionaries.
Led a team of Sales, Finance and Operations experts in the design of mathematically sound, data driven metrics to increase objectivity and accuracy of revenue analysis and commission calculation.
Led corporate, field and IT teams in a joint initiative that improved quality and availability of service center data to field and corporate data consumers. Drove standardization and time savings across 200 service centers.
Improved data quality and availability by 75%. Reduced maintenance costs by 25%. Achieved 98% uptime.
OBIEE, Oracle Business Intelligence Analytics, ODI, Informatica ETL, Microsoft SSRS, OLAP, SharePoint, Salesforce