DQ Implementation Lead

Tiger Analytics; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking analytics consulting firm that partners with Fortune 100 companies to drive business value through data. This role offers an exciting opportunity to lead large-scale Data Quality implementations, define best practices, and collaborate with stakeholders to enhance data governance. With a focus on innovation and individual responsibility, you will play a key role in shaping data quality solutions in a dynamic environment. If you're passionate about data and eager to make a significant impact, this position is perfect for you.

Qualifications

• 10+ years in Data Governance or Management in a global CPG or similar industry.
• Strong understanding of data ingestion, quality, and governance policies.

Responsibilities

• Define and implement Data Quality frameworks and best practices.
• Lead large-scale Data Quality implementations and engage stakeholders.

Skills

Data Governance

Data Management

SQL

Data Quality

Analytical Skills

Problem-Solving

Tools

Collibra DQ

Informatica DQ

SAP S/4 HANA

SpendHQ

Ariba MyBuy

Excel

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by market research firms like Forrester and Gartner.

Key Responsibilities:

1. Define and implement Data quality framework, standards, rules & best practices.
2. Lead large-scale Data Quality (DQ) implementations.
3. Implement DQ solutions and develop integration pipelines to onboard new sources.
4. Engage with stakeholders for requirement gathering and solution presentation.
5. Collaborate with Architects to build scalable data quality solutions and incorporate automation.
6. Perform data analysis to identify anomalies, gaps, and inconsistencies.
7. Analyze DQ executions and current DQ rules to recommend custom DQ rules for improved data accuracy and reliability.
8. Leverage DQ tools like Collibra DQ and others to implement automation and quality standards.
9. Lead and guide the implementation team in solution design and build activities.
10. Must have hands-on experience with large DQ solutions using tools like Collibra DQ, Informatica DQ, and similar tools.
11. Technical expertise in SQL, ETL, data governance, and data modeling.
12. Experience with Data architecture (Data Mesh) and implementing ETL on Snowflake and Azure.

Minimum Requirements:

1. 10+ years of experience in Data Governance or Data Management within a global CPG or similar industry.
2. Strong understanding of data ingestion, data quality, stewardship, and data use/consumption.
3. Ability to collaborate with business and technical experts to standardize operational information and enforce data governance policies.
4. Experience working with SQL, Axon, PO, Invoice data, and Accounts Payable.
5. Experience with SAP (Material and Vendor Master).
6. Experience with Global Procurement systems like SpendHQ or Ariba MyBuy.
7. Preferred: SAP S/4 HANA and SAP MDG experience.
8. Preferred: Informatica (EDC, Axon, IDQ), Intermediate to Advanced Excel skills.
9. Strong analytical and problem-solving skills to translate business needs into data governance solutions.

Significant career development opportunities exist as the company grows. The position offers a chance to be part of a small, fast-growing, entrepreneurial environment with a high degree of individual responsibility.