Application for Data Quality Manager for KPMG
Company: KPMG
Job Description:
Position: Data Quality Manager
Duration: 12 Months
Location: Pune
Experience: 5 - 7 (Data Quality Analyst), 10 - 15 (Data Quality Manager)
CTC:
- Data Quality Senior Analyst - 8 LPA
- Data Quality Manager - 24 LPA
Employment Type: Gig work for 12 Months
Key Responsibilities:
Data Quality/Modelling/Design thinking:
- Lead, mentor, and manage a team of data analysts and engineers fostering a collaborative and productive work environment
- Oversee the implementation and maintenance of data quality data models using SAP MDG, Azure, Power Platforms. Guide the team on identifying right conceptual data models as this will form base for the physical data models to be built
- Closely collaborate with technology and business stakeholder to identify requirements & areas for improvement. Articulate benefits/value for each usecase, including data cleansing, validation, and enrichment details. Maintaining relationships is key here
- Good understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed and how that is interlinked with Data Governance. Experience of working and leading in this setup is essential
- Should be able to facilitate workshops and training sessions to promote data quality awareness and best practices
- Conduct performance evaluations and identify opportunities for professional development.
- Highlights risk/hidden DQ issues to DQ Manager for further guidance/escalation
Dashboarding & Workflow: Builds and maintains effective analytics and escalation mechanisms which detect poor data and help business lines drive resolution
- Ideate and Support designing, building and deployment of data quality dashboards via PowerBI
- Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues
- Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.)
DQ Improvement Plans: Creates, embeds and drives business ownership of DQ improvement plans
- Works with business functions and projects to create data quality improvement plans
- Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made
- Supports initiatives which are driving data clean-up of existing data landscape
Project Delivery: Oversees, directs Data Quality Analysts and participates in delivery of data quality activities including profiling, establishing conversion criteria and resolving technical and business DQ issues
- Owns and develops detailed project delivery plan supporting multiple large programs that are in flight in bp. Create clear RACI information for key parties involved
