Top Benefits
About the role
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.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Top Benefits
About the role
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.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.