
Consultant, Data Quality Analytics
Dell Technologies · Posted Oct 16
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
Dell Technologies' Data Science organization pioneers massively parallel, data-intensive analytic processing to help businesses generate meaning and value from petabyte-scale data sets, collaborating with academics, industry experts, and engineers. This Consultant role on the Data Quality Analytics team owns the data-trust and AI-readiness of the governed knowledge spine that grounds AI agents on verified, provenance-backed facts. The consultant leads high-impact data quality programs covering lineage and traceability, quality signals, active-metadata dashboards, AI-readiness evidence, and trust and compliance reporting across critical data products.
What you will do
- Lineage & traceability. Trace every served fact back to its source and transformations - the record that makes the layer explainable and auditable.
- Quality signals. Measure completeness, freshness, and schema drift across the layer's data products, and track them against their SLAs.
- Active-metadata dashboards. Build and own the dashboards (Splunk, Elastic / Kibana, SQL) that keep trust, freshness, and quality signals live for the engineering teams and for leadership.
- AI-readiness evidence. Assemble the conformance evidence that shows each data product meets the AI-ready data standard - at every phase gate, across all its dimensions.
- Trust & compliance reporting. Surface trust-tier coverage, provenance completeness, and PII / sensitivity-labeling status - the evidence audit and governance rely on. Grounding discipline. Nothing ships ungrounded; you flag anything that can't be traced back to a source.
Skills used in this role
What the employer is looking for
- Strong data-analysis background - SQL-fluent, comfortable tracing data across systems and turning messy signals into clear, trustworthy views. Comes with 12-15 years of experience.
- Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
- Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
- Comfort with knowledge graphs and semantic data - the substrate you'll trace and query (SPARQL a plus).
- Strong communication - you make trust and readiness legible to engineers, auditors, and leadership alike.
Preferred qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, or related field.
- Certifications or vendor credentials for data quality or cloud data platforms.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
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