Offer summary

Qualifications:

10+ years of experience in data governance or related fields., Proven track record of leading cross-functional teams., Knowledge of data quality practices and data protection management., Proficient in tools such as Collibra, Informatica, or Alation..

Key responsibilities:

Assess the current data quality process and recommend improvements.

Design scalable architecture for data quality management using preferred tools.

Create strategic roadmaps to align data quality initiatives with organizational objectives.

Establish governance policies to ensure data integrity and compliance.

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Key Responsibilities:

DG architect needs to play a key role in understanding the data quality implementation, framework and suggest roadmap for maturity along with building architecture for DQ management. Architect's key responsibilities would be

Assessing the current DQ process, identifying gaps and recommending improvements.
Design scalable architecture for DQ management using DQ tools(Collibra preferred), Service now etc.
Create strategic roadmaps to align DQ initiatives with org objectives.
Establish an operating model , governance policies, ensuring data integrity, ownership and compliance
Collaborate with multiple teams to drive DQ solution and continuous monitoring.
Proficiency building issue and defect management frameworks preferred.

Requirements

10+ years of experience in data governance, data management, or related fields.
Proven track record of leading cross-functional teams and implementing data quality programs.
Knowledge of industry leading data quality and data protection management practices
Knowledge of data quality practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
Responsible for designing, establishing, and implementing data quality framework (Policies, standards, documentation, definitions, processes, and templates etc.)
Proficient in tools such as Collibra, Informatica, Alation, or other data governance platforms.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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