<p>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.</p> <p>Key Responsibilities</p> <ul> <li>Lead and manage the daily data triage process, including intake, prioritization, escalation, and resolution of issues. </li><li>Oversee end-to-end workflows for data ingestion, processing, validation, and delivery. </li><li>Ensure data pipelines operate consistently and exceptions are addressed promptly. </li><li>Establish and maintain SLAs for issue resolution and operational processes. </li><li>Track and report on data quality metrics such as accuracy, completeness, timeliness, and consistency across core datasets. </li><li>Define and enforce validation rules, quality thresholds, and operational controls. </li><li>Perform root cause analysis on recurring issues and work with engineering and business teams to implement preventative measures. </li><li>Maintain data quality scorecards and operational reporting dashboards. </li><li>Identify opportunities to automate processes, reduce manual tasks, and improve efficiency. </li><li>Standardize data operations and quality management practices across teams. </li><li>Develop documentation, playbooks, and process maps to ensure repeatability and reduce reliance on tribal knowledge. </li><li>Support data governance initiatives related to data quality, lineage, metadata, and definitions. </li><li>Act as the primary liaison for data consumers, providing updates on data availability, issues, and quality improvements. </li><li>Coordinate with external data providers and internal technology partners to resolve issues and enhance workflows. </li><li>Build strong relationships across business units to understand data usage, critical elements, and downstream impacts. </li><li>Deliver monthly updates on data operations and quality initiatives. </li><li>Promote team engagement, collaboration, and communication within the department. </li><li>Mentor analysts on technical and business aspects of data quality and operations. </li><li>Foster a culture of accountability, operational excellence, and continuous improvement </li></ul> <p>Qualifications</p> <ul> <li>Bachelor's degree in Information Systems, Data Management, Business, Analytics, or related field. </li><li>5+ years of experience in data operations, data quality, data governance, or related disciplines. </li><li>Experience in a data-driven or regulated industry (financial services, asset management, insurance) preferred. </li><li>Strong understanding of data lifecycle, pipelines, ingestion workflows, and dependencies. </li><li>Proficiency in SQL for writing and interpreting queries and validation rules. </li><li>Familiarity with data quality tools, workflow systems, monitoring dashboards, and metadata management platforms. </li><li>Experience with issue tracking tools (e.g., Jira, ServiceNow). </li><li>Knowledge of data modeling, lineage, and governance principles. </li><li>Ability to translate technical data issues into business impact. </li><li>Skilled in leading cross-functional meetings and managing complex operational workflows. </li><li>Strong documentation skills for SOPs and operational playbooks. </li><li>Excellent communication skills with the ability to simplify technical concepts for business stakeholders. </li><li>Highly organized with the ability to manage multiple priorities. </li><li>Demonstrated ability to lead through influence and foster collaboration. </li><li>Analytical, detail-oriented, and proactive in problem-solving. </li></ul> <p>Preferred:</p> <ul> <li>Experience with Python or data automation workflows. </li><li>Knowledge of BI tools such as Tableau. </li><li>Familiarity with data governance frameworks. </li></ul> <p>Compensation:</p> <p>$120,000-$150,000</p> <p>#LI-HYBRID #LI-TK1</p>