SUMMARY

• Expertise across all phases of software development and implementation for global programs
• Highly accomplished, goal - focused professional with twenty plus years of experience in leading teams to achieve delivery of large-scale data programs aligned with complex business and compliance requirements.
• Expertise in establishing processes and standards and managing cross-functional/matrix teams, consisting of Project Managers, Business Analysts, Developers, Testers and Stakeholders.
• Extensive knowledge in Property/Casualty insurance, and reinsurance, concepts, theories and terminology.
• Familiarity with the functions of Marketing, Underwriting, Actuarial Pricing and Reserving, Product Development, Accounting, Claims and Legal issues in the Commercial Property/Casualty business, is highly desirable.
• Technically astute and well experienced in managing internal and external users and stakeholders expectation management with respect to scope, budget and priorities.

AREAS OF EXPERTISE

• Agile & Waterfall Development Methodology
• Program/Project Management
• Risk Identification & Mitigation
• Budget Allocation & Management
• SLA definition and KPI Measurement
• Policy & Process Development with Governance
• Vendor Relationship Management
• Team Building, Training, & Leadership
• Business Process Improvement
• Data Warehousing / Big Data & Analytics
• Data Analytics maturity implementation
• Strategic roadmap creation for data analytics
• Databases/ETL/Metadata/ Solution Architecture
• Business Intelligence implementation
• Data Governance/Data Quality Standards and policies
• Master Data Management(MDM) implementation

PROFESSIONAL EXPERIENCE

Confidential

Responsibilities:

• Defined, published and managed the enterprise Data Governance strategy in partnership with the various groups and IT leadership.
• Led the effort to deploy polices and process with respect to the use of data, and development of reports and analytics which will help establish a common vocabulary and taxonomy e.g. Business, technical and Operational Metadata for data and reports across the organization.
• Established an operating model for data governance, including the roles and responsibilities such as data governance body, data stewardship, and data custodians and the required policies and procedures.
• Organized and facilitated the execution of data governance activities with sustainable operating routines with clear accountabilities - including reviews of supporting processes, roles and responsibilities for optimization.
• Ensured enterprise data meets the organization wide reporting requirements and moves to next level of maturity.
• Established a Center of Excellence for Data and Analytics in order to support a data driven Familiarity next generation concepts to help drive business value.

Confidential

Project Manager

Responsibilities:

• Facilitated user story sizing and estimation workshops.
• Facilitate Sprint release and sprint planning.
• Facilitated daily stand-ups, sprint review and demos.
• Managed and coordinated implementation.
• Utilized strong communication, leadership and relationship building to drive team towards its objectives.
• Modeled, promoted and encouraged Agile values, collaboration, best practices, processes and behaviors
• Continually learnt and share process improvements with colleagues and the team.
• Proactively managed dependencies and removes impediments. Located and mitigated risks before they occur, and knows when to properly escalate problems to management.
• Protected the team from distractions like non-sprint work and changing business requirements.
• Coached team members when necessary.

Confidential

sr. program manager

Responsibilities:

• Understand the client’s business goals, IT plans, and architectures and articulate linkage to the proposed data warehouse architecture and application designs.
• Design and develop the architecture, roadmap, and standards for the enterprise data warehouse that will align with the customer business and IT objectives.
• Be a trusted advisor to the client’s decision makers by establishing credibility and expertise in data warehouse technology and Teradata’s solution offerings.
• Present technical, solution, and business architectural messages to clients.
• Demonstrate industry leadership through publication, presentations, participation in industry organizations or standards bodies.
• Manage various Projects, Initiatives, and Programs from inception till completion. Development background in multiple large scale portfolios involving strategic and tactical Data policy, Data Warehousing, and Big Data.

Confidential

Senior Engagement Manager

Responsibilities:

• Managed ongoing developing, production services and addressed all issues with clients while continuing to manage and deliver implementation projects with regular customers.
• Ensured long-term adoption for customers, support organizational change and generate business value in a short timeline
• Delivered business analysis and solutions engineering - work closely with our customer champions to understand in detail the use cases and business processes, and define and implement the solution.
• Prepared technical objectives - identify and describe key goals and provide the work processes to achieve these goals.
• Worked as a lead SME in analyzing global BI and Datawarehouse function and created roadmaps for maturity improvement spanning for 2-5 years.
• Assisted as the technical expert and product specialist, aiming to solve customer business challenges
• Engaged closely with customers to provide feedback on software and Product Management regarding customers’ needed product needs and acted as a trusted advisor on all needs.

Confidential, Bloomington, IL

BI Solution Architect

Responsibilities:

• Managed successful planning and implementation of Global Financial System involving multiple project streams, including: underwriter central to Hub to EDW to Financial Accounting Hub (FAH); FAH data to Hub to EDW; data quality reports; and data quality control implementation.
• Developed Data Governance Framework that helped in development of logical structure for classifying, organizing, and communicating complex activities involved in making decisions about and taking action on enterprise data.
• Developed Dimensional model for various business subject areas.
• Created and implemented Structural, Administrative, and Descriptive Metadata models.
• Developed, created, and implemented data lineage between technical and business Metadata.