Us In Driving Growth
DataQualitySeniorSupervisor
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Quality Senior Supervisor at Us In Driving Growth. Skills: Data quality, Operational leadership, People leadership. Lead day-to-day operations. Manage team performance”
What You'll Achieve.
Data quality metrics meet thresholds; On-time delivery of activities; Reduction in repeat defects; Reduction in audit findings; Clear stakeholder communications; Timely stakeholder communications; Transparent stakeholder communications; Improvements in automation; Improvements in efficiency; Improvements in control maturity
Industry & Context.
Problem-solving; Root cause analysis; Data issues resolution
What They're Looking For.
Must Have
5+ years data management experience, 5+ years data quality experience, 5+ years operational excellence experience, Provider data domains knowledge, Provider data systems knowledge, Regulated environments experience, Audit-driven environments experience, Hands-on operational oversight, Strategic prioritisation, Analytical skills, Problem-solving skills, Decision-making skills, Stakeholder management skills, Written communication skills, Verbal communication skills
Nice to Have
Healthcare experience, Insurance experience, International health services experience, Bulk data operations experience, ETL processes experience, Data integration tooling experience, Data governance frameworks familiarity, CDE management familiarity, Audit methodologies familiarity, Lead teams multiple role types, Lead teams multiple disciplines
What You'll Do.
Lead day-to-day operations
Manage team performance
Deliver data quality outcomes
Provide operational leadership
Maintain provider data
Translate strategic intent
Own delivery against SLAs
Own delivery against KPIs
Embed quality frameworks
Embed control frameworks
Act as escalation point
Manage data integration developers
Manage quality auditors
Manage data admin assistants
Set performance expectations
Set development plans
Manage capacity planning
Allocate work across teams
Lead performance interventions
Remediate quality issues
Implement coaching plans
Own end-to-end delivery
Cleanse provider data
Validate provider data
Ensure adherence to procedures
Ensure adherence to controls
Ensure adherence to standards
Monitor delivery against SLAs
Monitor delivery against turnaround times
Monitor delivery against quality thresholds
Act as escalation point
Address bulk update risks
Address audit failures
Ensure segregation of duties
Embed quality assurance frameworks
Embed audit frameworks
Review audit findings
Define corrective actions
Implement corrective actions
Provide oversight of CDEs
Ensure CDE completeness
Ensure CDE consistency
Validate readiness for audits
Validate readiness for reviews
Validate readiness for assurance activities
Partner with business owners
Partner with technology stakeholders
Partner with operations stakeholders
Partner with clinical stakeholders
Prioritise provider data work
Translate business priorities
Create execution plans
Create team deliverables
Provide status updates
Provide issue updates
Provide mitigation updates
Represent Data Enablement
Identify automation opportunities
Identify tooling opportunities
Identify process optimisation opportunities
Prioritise scalable bulk solutions
Prioritise sustainable fixes
Drive standardisation of templates
Drive standardisation of controls
Drive standardisation of metrics
Drive standardisation of reporting
Embed continuous improvement culture
How You'll Work.
Team & Collaboration
Cross-functional forums; Business owners; Technology stakeholders; Operations stakeholders; Clinical stakeholders; Senior leadership
Communication Scope
Written communication; Verbal communication; Concise updates; Risk-based updates
Process & Methodology
Capacity planning, Work allocation
Full Job Description
**Job Title:** Data Quality Senior Supervisor **Band:** Senior Band 3 **Location:** Bangalore **Reports To:** Data Enablement Manager **Direct Reports:** Data Integration Developers, Quality Auditors – Provider Data Quality, Provider Data Admin Assistants ### Role Summary The Senior Band 3 Supervisor is accountable for the day-to-day leadership, performance management, and delivery of Data Quality outcomes across the Data Enablement function within International Health Delivery Services (IHDS). This role provides operational leadership across multiple specialised roles, ensuring high-quality, compliant, and timely maintenance of provider data across core platforms including PRM, PIMS, Globalcare, Actisure, Mainframe and Diamond. The Supervisor translates strategic intent into clear execution, owns delivery against agreed SLAs and KPIs, embeds quality and control frameworks, and acts as the escalation point for complex data, quality, and operational risks. The role partners closely with Senior Managers, Business Owners, Technology, and Clinical stakeholders to ensure provider data remains accurate, complete, and fit for business and regulatory purposes. ### Key Accountabilities 1\. People Leadership & Capability Management * Provide direct line management to: * Data Integration Developers * Quality Auditors – Provider Data Quality * Provider Data Admin Assistants * Set clear objectives, performance expectations, and development plans aligned to Data Enablement strategy. * Coach, mentor, and upskill team members, ensuring strong technical capability, quality mindset, and role clarity. * Manage capacity planning and work allocation across teams to meet changing business priorities. * Lead performance interventions where required, including quality remediation, coaching plans, and escalation. 2\. Operational Delivery & Oversight * Own end-to-end delivery of provider data cleansing, validation, audit, and bulk update activities. * Ensure adherence to documented operating
Applying for this Data Quality Senior Supervisor role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Us In Driving Growth?
Real rants from real employees. Read before you apply.