Data Operations Consultant

Piper Companies is seeking a detail-oriented and dependable Data Operations Consultant to join a data team in Wayne, PA. The consultant will manage daily operational workflows, oversee issue triage, champion data quality initiatives, and collaborate with internal teams and external vendors to implement long-term improvements that minimize risk and strengthen confidence in our data.

Key Responsibilities

• Lead and manage the daily data triage process, including intake, prioritization, escalation, and resolution of issues.
• Oversee end-to-end workflows for data ingestion, processing, validation, and delivery.
• Ensure data pipelines operate consistently and exceptions are addressed promptly.
• Establish and maintain SLAs for issue resolution and operational processes.
• Track and report on data quality metrics such as accuracy, completeness, timeliness, and consistency across core datasets.
• Define and enforce validation rules, quality thresholds, and operational controls.
• Perform root cause analysis on recurring issues and work with engineering and business teams to implement preventative measures.
• Maintain data quality scorecards and operational reporting dashboards.
• Identify opportunities to automate processes, reduce manual tasks, and improve efficiency.
• Standardize data operations and quality management practices across teams.
• Develop documentation, playbooks, and process maps to ensure repeatability and reduce reliance on tribal knowledge.
• Support data governance initiatives related to data quality, lineage, metadata, and definitions.
• Act as the primary liaison for data consumers, providing updates on data availability, issues, and quality improvements.
• Coordinate with external data providers and internal technology partners to resolve issues and enhance workflows.
• Build strong relationships across business units to understand data usage, critical elements, and downstream impacts.
• Deliver monthly updates on data operations and quality initiatives.
• Promote team engagement, collaboration, and communication within the department.
• Mentor analysts on technical and business aspects of data quality and operations.
• Foster a culture of accountability, operational excellence, and continuous improvement

Qualifications

• Bachelor’s degree in Information Systems, Data Management, Business, Analytics, or related field.
• 5+ years of experience in data operations, data quality, data governance, or related disciplines.
• Experience in a data-driven or regulated industry (financial services, asset management, insurance) preferred.
• Strong understanding of data lifecycle, pipelines, ingestion workflows, and dependencies.
• Proficiency in SQL for writing and interpreting queries and validation rules.
• Familiarity with data quality tools, workflow systems, monitoring dashboards, and metadata management platforms.
• Experience with issue tracking tools (e.g., Jira, ServiceNow).
• Knowledge of data modeling, lineage, and governance principles.
• Ability to translate technical data issues into business impact.
• Skilled in leading cross-functional meetings and managing complex operational workflows.
• Strong documentation skills for SOPs and operational playbooks.
• Excellent communication skills with the ability to simplify technical concepts for business stakeholders.
• Highly organized with the ability to manage multiple priorities.
• Demonstrated ability to lead through influence and foster collaboration.
• Analytical, detail-oriented, and proactive in problem-solving.

Preferred:

• Experience with Python or data automation workflows.
• Knowledge of BI tools such as Tableau.
• Familiarity with data governance frameworks.

Compensation:

$120,000-$150,000

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