Promote and support the adoption of data products across business units
Design and execute demonstrations, proofs-of-concept, and pilot programs to showcase operations capabilities
Drive organizational awareness and understanding of insights and automation from disparate systems that keys to operational excellence
Collaborate with business stakeholders to identify high-value analytics use cases
Translate business problems into data product requirements and future solution designs
Prioritize initiatives based on business impact, feasibility, and ROI
Act as a liaison between technical teams, business leaders, and end users
Communicate complex data concepts in clear, business-friendly language
Facilitate workshops, training sessions, and stakeholder engagement forums
Stay current with modern data and AI tools, platforms, and methodologies (e.g., cloud data platforms, ML frameworks, data mesh, data products)
Recommend and implement emerging best practices in analytics engineering, MLOps, and data product lifecycle management

Requirements

5+ years’ experience in data architecture, analytics platforms, or AI/ML enablement
Strong understanding of data lineage, metadata management, and data quality practices
Proven ability to drive adoption of data products in enterprise environments
Excellent communication and collaboration skills with both technical and business stakeholders
Bachelor Degree preferred
9+ years’ experience in data architecture, analytics platforms, or AI/ML enablement preferred
Experience with any cloud data platforms (Snowflake, BigQuery, Azure Synapse, Databricks, etc.) or on-prem systems preferred
Exposure to AI/ML frameworks and generative AI technologies preferred
Familiarity with Tableau preferred

Benefits

Comprehensive health, dental, and vision plans
401(k) with company match
Paid time off and holidays
Tuition assistance and professional development
Employee stock and retirement programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architectureanalytics platformsAI/ML enablementdata lineagemetadata managementdata quality practicesanalytics engineeringMLOpsdata product lifecycle managementcloud data platforms

Soft Skills

communication skillscollaboration skillsstakeholder engagementworkshop facilitationtraining facilitationorganizational awarenessproblem translationinitiative prioritizationbusiness impact assessmentclear communication

Certifications

Bachelor Degree