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Senior Director/Director of Data Management

Remote
Up to $400,000/ year
Data Engineering Manager Data Governance Manager Data Leader
Actively hiring

Senior Director/Director of Data Management

Moody's Corporation
Remote
Up to $400,000/ year
Data Engineering Manager Data Governance Manager Data Leader
Moody's Corporation
Actively hiring

hackajob is partnering with Moody's Corporation to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Sr Dir - Mgr- Data Management

 Skills and Competencies

  • Data Program Leadership: 12+ years of experience in data management, data operations, or remediation is required, with proven senior leadership experience owning complex, cross-functional data programs with executive visibility.
  • Team & Vendor Management: Demonstrated success managing large, distributed teams, including contract and vendor resources, is essential for building and overseeing a scalable execution model.
  • Data Manipulation & Analysis: Strong hands-on expertise in data manipulation and analysis using tools like Excel and SQL is required to shape remediation logic and validate outcomes. Experience guiding teams using Power BI and Databricks is also necessary.
  • Executive Communication: Exceptional executive communication and stakeholder management skills are critical for serving as the executive sponsor and building trusted relationships with senior clients and internal leaders.
  • Structured Program Management: A highly structured and disciplined mindset is required to lead complex, multi-workstream remediation programs and bring clarity to high-pressure situations.
  • Familiarity with Python-based analytics and automation is preferred.
  • Experience operating in regulated or high-risk data environments is desired.
  • A background in building scalable operating models or centers of excellence is a plus.
  • Ability to travel on an ad-hoc/as-needed basis (~10%)

Education

  • Bachelor’s degree required in Data Science, Business, Economics, Engineering, or related field.
  • Master’s degree is preferred.

Responsibilities Lead the enterprise-scale data remediation strategy and execution for Moody’s most critical clients and datasets.

  • Own the enterprise remediation strategy for high-priority client and regulatory data issues, defining scalable frameworks that balance speed, accuracy, and auditability.
  • Serve as the senior executive sponsor for Moody’s most critical remediation engagements, leading communications and building trusted relationships with senior client stakeholders.
  • Design and oversee large-scale remediation execution models, including internal teams and contract/vendor resources, establishing clear operating rhythms and quality controls.
  • Lead complex, multi-workstream remediation programs using highly structured project management disciplines, setting clear milestones, dependencies, and risk management plans.
  • Apply strong data manipulation skills to shape remediation logic and validation rules, guiding teams in the effective use of tools like Excel, SQL, Power BI, and Databricks.
  • Establish clear documentation, audit trails, and executive-ready reporting on remediation status, risks, and outcomes.
  • Identify systemic data issues and partner with upstream teams to drive root-cause fixes, continuously improving remediation efficiency and quality.

About the team Our White Glove Data Remediation team is accountable for the enterprise-scale data remediation strategy and execution for Moody’s most critical clients and datasets. We partner directly with senior client stakeholders and internal executives to resolve high-visibility data issues, ensuring the integrity and defensibility of our most critical information. By joining our team, you will be part of exciting work in building a scalable, world-class remediation service, solving complex data challenges, and protecting Moody's reputation for data quality.

hackajob is partnering with Moody's Corporation to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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