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Director, Data Analytics And Governance Resume

Los Angeles, CA

SUMMARY

  • Data and Analytics leader wif over 20 years of experience in enterprise data management, engineering, governance and business intelligence.
  • Solid mix of leadership, technology and business development skills who thrives in fast paced and challenging environment.
  • Expert level understanding on overall business need for data consumption and adopting actionable BI and data governance strategy.
  • Strong track record in architecting and implementing cloud and on - premise data lakes, data warehouse and business intelligence applications.
  • Proficient in building and deploying Machine Learning applications. Industry experiences include healthcare, CPG, financial, retail, airline, digital media and consulting.

TECHNICAL SKILLS

General Management: Leadership, People Management, Business Process Modeling, Team Building, Off/On-shore Management, Data/BI/Analytics Delivery and Operations, Budgeting and Financial Management, Program & Project Management in Agile/Waterfall

Data Management & Governance: Enterprise Data Management, Data Governance framework and policy implementation, Data and BI Roadmap, Data Quality Management, MDM, Data Lake, Warehouse, Data Glossary, Data Quality, Data profiling, NIST, Data Encryption.

Business Analytics: Machine Learning, Octave, Python, Qlik Sense, QlikView, MS Power BI, Tableau, Visualization, Business Objects, Cognos, Brio, SQL, No-SQL

Data Architecture: Whiteboarding, Data Framework, SPARX Enterprise Architect, ProVision, Erwin, ModelMart, Relational & Dimensional Data Model, Visio, PowerPoint, Star/Snowflakes

Data Engineering: Hadoop, HBase, Spark, RESTful API, MarkLogic, Node.js, SQL, Linux, C++/Java/JavaScript/Python, Rally/JIRA, DataStage, WhereScape, SnapLogic, Informatica, Talend, T-SQL, PostgreSQL/Oracle/MySQL/SQL-Server/Redshift

PROFESSIONAL EXPERIENCE

Confidential, Los Angeles, CA

Director, Data Analytics and Governance

Responsibilities:

  • Led organization-wide data governance activities by adopting and implementing data governance strategy, framework and policies partnering wif cross-functional business and technology teams.
  • Led digital transformation of data governance function by acquiring and implementing DG and MDM capabilities which resulted in implementation of Informatica Axon, EDC and IDQ.
  • Defined data governance organization and led workshops in order to establish business glossary, key metrics, and to resolve DQ issues working wif business and technical SMEs (subject matter experts).
  • Identified key master data set critical to teh business lines, architected and designed MDM repository for development.
  • Managed monthly and bi-weekly DG steering committee and stewardship meetings. Managed DG budgets.
  • Architected Enterprise DG solutions by leveraging Big Data and advanced Business Intelligence technologies.
  • Streamlined and adopted BI and Analytics delivery process by implementing solutions engineering, budgetary guidance, Agile development standards.
  • Managed company wide data extract delivery and operational activities working wif vendors, IT and business counterparts in a highly matrix environment.
  • Built data engineering and BI organization from ground up by hiring and training data engineers and analysts.

Confidential, Los Angeles, CA

Manager (Head), Enterprise Information Management

Responsibilities:

  • Adopted actionable data strategy by analyzing data and analytics requirements engaging wif almost all business areas including product development, customer service and integrated logistics, marketing, supply/demand operations, sales, legal and finance.
  • Adopted DG strategy and implemented policies across teh organizations. Created solution for Account, Vendor and Customer Master Data (MDM) for user access and consumption. Implemented solution for California Consumer Privacy Act (CCPA).
  • Architected Cloud data lake solutions wif data sourced from systems like ERP (manufacturing), PLM (product dev.), LIMS (Lab data), ASCP/Demantra (supply and demand planning), Hyperion (Financial/Accounting), TPM (transportation), etc.
  • Hired and built data engineering team. Created data pipelines wif Informatica Cloud, MS Power BI, MS Azure.

Confidential, San Francisco, CA

Head of Data Product and Solution

Responsibilities:

  • Oversaw as an architect and development head for big data products which streams enterprise application data for analytics in a business usable format.
  • Managed overall product development effort wif offshore development partners involving delivering data replication, RESTful API and UI

Confidential, San Francisco, CA

Director, Big Data Architecture

Responsibilities:

  • Worked wif enterprise level business stakeholders and led large data and analytics capability implementation.
  • Captured cross functional requirement and architected data platform (data lake) using a number of big data technologies in a managed service framework capable of processing peta-byte scale data.
  • Architected and designed data pipeline for advanced analytics and machine learning models implementation.
  • Worked wif a number of business areas encompassing Claims, Clinical, Pharmacy, Billings and Enrollment, etc. in order to deliver petabyte-scale big data solution using technologies like Hadoop, Spark, Kafka, Hbase, Marklogic, Hive.
  • Architected solution involving Data Lake, MDM, Consumer-360, API’s, and DW.
  • Architected and Designed Individual Master Data Management repository (me-MDM)

Confidential, San Francisco, CA

Director, Data Engineering and Management

Responsibilities:

  • Built and managed AWS Cloud data lake engineering team and platform for on-line advertising business.
  • Oversaw teh delivery and operations of data engineering organization.
  • Created and reviewed architecture and design of teh data pipeline. Created data pipeline wif SnapLogic, Redshift.

Confidential, Minneapolis, MN

Senior Manager, Data Management and Business Intelligence

Responsibilities:

  • Collaborated wif business teams to gather analytics requirements and converted data into insights using tools such as Cognos, Business Objects and QlikView.
  • Built analytics capability to forecast expected participation for diabetic tracking and treatment campaign.
  • Led effort to implement RX Analytics Data Warehouse including adoption of Data Strategy and Framework.
  • Implemented standard processes for solution architecture, BI delivery, project intake, and budgetary guidance.

Confidential, Minneapolis, MN

Senior Data Integration Consultant

Responsibilities:

  • Worked as a Systems Consultant/Architect for teh data warehouse and business intelligent team.
  • Designed and developed ETL processes for operational data store (ODS) and data warehouse using IBM DataStage.
  • Designed and developed New York Stock Exchange (NYSE) data mart tables/structures.

Confidential, Minneapolis, MN

Data and Business Intelligence Engineer

Responsibilities:

  • Developed an enterprise BI Dashboard- Service Level Inquiry & Metrics (SLIM) to track OLA/SLA performance across teh company using BRIO (BI), JavaScript, Oracle.
  • Managed enterprise ETL projects in IBM DataStage/Linux.
  • Build BI Dashboard for Finance/AP, which retrieved 5MM overpayment to vendors.
  • Additional BI projects include HRIS and Marketing reporting and Dashboarding. Technology used: BI (Brio), DB2, SQL Server, JavaScript

Confidential, Minneapolis, MN

DW and BI Consultant

Responsibilities:

  • Designed, developed and implemented dimensional data marts in MS SQL Server.
  • Created data integration jobs using DTS/T-SQL. Lead development effort for various OLTP and OLAP databases.
  • Created Logical and Physical Model using Erwin and Implemented ModelMart, a data modeling repository.

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