Job Description: 



Not Data Architect please read. 



Role is a Data Quality Solution Architect/Project Coordinator/Functional 
Programmer Analyst. Primary responsibility will be to develop Data Quality 
Solutions and business requirements translating them into a design that can be 
built then implemented. This role will also assist the project manager with 
project scoping, coordinating and tracking. Activities included analyzing the 
data using various data quality profiling techniques, architecting data quality 
solutions and ensuring implementation of solution based on Pharma company DQ 
Principles. Good communication, oral and written, a must to be able to explain 
the data quality principles and services in business terms when guiding the 
business through various profiling and other DQ activities/techniques to ensure 
the appropriate requirements gathered and DQ solution implemented. This person 
needs to understand the Company Data Quality Services guiding principles and 
work independently to apply them on various projects. Team player is critical 
in the Company Matrix Organization to align and integrate into the overall 
project. Participation in starting a new IT Service (SOA) preferably Data 
Quality is a real PLUS.





• Strong skills in building and maintaining successful networks and 
relationships with key people across a single functional area to ensure IT 
projects are supported and successfully delivered.

• Organizes and presents ideas in a convincing and compelling manner.

• Persuades and influences others with effective verbal and written 
communication.

• Understanding of Data Quality Services principles and techniques.

• Understands the value of data quality approach to data analysis using DQ 
profiling techniques and the importance of on-going data quality monitoring to 
ensure it continues after initial clean up.

• Ability to execute the Data Quality techniques implementing solutions as part 
of a project but also reusable services that can be shared across the 
enterprise where appropriate maximizing the value and y ensuring consistency. 

• Understanding of project planning and coordination techniques and tools.

• Develops or modifies moderately complex information systems functional 
documentation and converts this technical documents and translation into 
programming languages or implements into COTS technologies.

• Identifies Information Management processes and technology changes necessary 
to support business goals and objectives.

• Experience in participating in data profiling efforts for at least one 
medium-to-large software project. Develop repeatable data assessments/profiling 
processes and a means to communicate to others the findings.

• Experience playing a leadership role in enterprise-wide Data Quality 
Management, Data Resource Management, Data Stewardship and/or Data 
Administration programs at a large Pharma company





Provide leadership in defining an enterprise information data quality 
architecture including:

o Data Quality Principles and Process Standards

o Architectural Deliverables associated with Portfolio Management and SDLC

o Develops value-added, strategic solutions and sharing of best practices 
throughout the organization and the data quality architectural community

o Collaborate with Global Shared Service Governance teams to institutionalize 
policy, standards and project related architectural deliverables.

o Facilitates agreement of Enterprise Data Quality definitions with Global 
Shared Service partners

o Provides leadership and direction for the definition of an enterprise data 
quliaty that supports the business information needs

o Collaborate across company information management to identify opportunities 
to leverage common solutions and extend the adoption of standards.

o Leads company market awareness around evolving Data Quality principles and 
standards 

o Leads company technical interests in collaboration with outside vendors.

o Communicate with team members and other stakeholders in a timely and 
effective manner in order to keep them apprised of data quality status and 
relevant issues of interest to, and impact on, the clients and their business 
areas.



Technical qualifications include:



• Data Quality Assessment, Standardization and Management

• Solution Architect that understands Data Quality Principles and Techniques

• Proven analytical skills to properly evaluate and interpret cross-functional 
data quality requirements

• Ability to resolve complex issues relate to enterprise wide data quality 
concerns





Thanks & Regards 

------------------------------------

Sanjay Kumar

Technical Recruiter

Sriven Infosys Inc

CELEBRATING 11th ANNIVERSARY 2000-2011

E-mail: [email protected]

G.Mail: [email protected]

Phone: 703-468-4652

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