The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

The Operational Data Quality Lead is a senior, highly technical leadership role within the Office of the Chief AI & Data Officer (CDAO), responsible for designing, implementing, and operating the enterprise Data Quality monitoring and remediation framework.

This role owns the end-to-end operational data quality lifecycle, including rule implementation, automated monitoring, dashboarding, issue detection, root cause analysis, and remediation tracking across critical data assets and data products.

This is a high-impact, execution-focused role operating in a fast-paced, highly dynamic environment, where the ability to prioritize, deliver, and continuously adapt is critical to success.

The role works in close partnership with:

• Data & AI Stewardship Lead
• Data Engineering teams
• Platform teams
• Business domain owners

This is a hands-on technical leadership role requiring deep expertise in Informatica Data Quality / IDMC / DQ tooling, combined with strong communication and influencing skills.

Strategic Objectives of the Role

This role exists to:

• Make data quality measurable, visible, and actionable
• Provide enterprise-level data quality transparency
• Reduce business risk caused by poor data
• Enable trusted analytics and AI systems
• Move the organization from reactive data issues to proactive quality management

Key Responsibilities

1. Enterprise Data Quality Operations (Core Mandate)

• Design and operate the enterprise Data Quality Operating Model.
• Define and manage:
  • Data quality dimensions (accuracy, completeness, timeliness, consistency, validity)
  • DQ Dashboards - SLAs and thresholds
  • Incident and escalation processes
• Own the day-to-day operational health of data quality across domains.

2. Informatica Data Quality Platform Leadership

• Serve as the technical owner of Informatica DQ platforms:
  • Informatica Data Quality (IDQ / IDMC DQ)
  • Integration with Informatica Data Catalog for DQ visibility
• Build and manage: Automated DQ rules, DQ scorecards and dashboards, Domain and enterprise-level DQ KPIs
• Ensure DQ metrics are: Standardized, Automated, Scalable, Auditable

3. Data Quality Dashboards & Monitoring

• Design executive and operational DQ dashboards showing:
  • Data quality scores by domain
  • Trends over time
  • Top data issues
  • Business impact
• Integrate DQ dashboards with:
  • Informatica platforms
  • BI tools (Power BI / Tableau etc.)
• Provide near real-time visibility into critical data health.

4. Root Cause Analysis & Remediation

• Lead data quality root cause analysis (RCA) for high-impact issues.
• Partner with data engineering and platform teams to:
  • Identify systemic causes
  • Design remediation solutions
  • Track fix effectiveness
• Build a closed-loop DQ remediation process:vDetection → Analysis → Fix → Validation → Prevention

5. Business Engagement & Influence

• Act as the technical face of data quality to business stakeholders.
• Translate DQ metrics into:
  • Business risk
  • Financial impact
  • Operational impact
• Facilitate domain workshops to:
  • Prioritize data quality issues
  • Align on remediation actions
• Influence product and engineering teams to embed quality-by-design.

Required Experience & Skills

Technical Expertise (Strong Requirement)

• 8–10+ years in Data Quality, Data Engineering, or Data Platforms
• Deep hands-on experience with:
  • Informatica Data Quality (IDQ / IDMC DQ)
  • DQ rule development and profiling
  • Validation, standardization, matching
• Strong SQL and data analysis skills
• Experience building DQ dashboards using:
  • Informatica
  • Power BI / Tableau / Looker

Data Engineering & Architecture

• Strong understanding of:
  • Data pipelines (ETL/ELT)
  • Data lakes and data warehouses
  • API-based and streaming data flows
  • Cloud data platforms

Root Cause & Problem Solving

• Proven experience leading: Data quality incident investigations, Systemic remediation initiatives

Communication, Influence & Operating Style

• Exceptional ability to explain complex technical issues in business language
• Strong stakeholder management and facilitation skills
• Proven experience influencing:
  • Data engineers
  • Platform teams
  • Product owners
• Demonstrated ability to operate effectively in a fast-paced, ambiguous, and evolving environment
• Comfortable managing multiple high-priority initiatives simultaneously
• Strong prioritization and decision-making under pressure
• Thrives in a fast-paced, product-oriented environment with competing priorities and rapid delivery cycles

Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.