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Tech Stack
Tools & technologiesCloudPostgresPython
About the role
Key responsibilities & impact- Lead end-to-end program execution for complex data initiatives, from requirements through delivery and adoption.
- Drive cross-functional alignment across Data & AI, Finance, Sales Ops, and Incentives teams.
- Establish roadmaps, milestones, and governance models to ensure predictable and scalable delivery.
- Manage prioritization, risk mitigation, and stakeholder communication across global teams.
- Champion change management and user enablement, ensuring successful adoption of new data products and platforms.
- Integrate AI/ML and agentic frameworks into data pipelines to enhance automation, anomaly detection, and predictive insights.
- Leverage state-of-the-art technologies (e.g., LLMs, RAG architectures, intelligent agents) to modernize data workflows and user experiences.
- Partner with Data & AI teams to build scalable, explainable AI ready data products.
- Identify opportunities to augment traditional analytics with AI-powered decision frameworks.
- Drive experimentation and adoption of emerging technologies across the data ecosystem.
- Partner with Analysts, Engineers, and Operations teams to translate business requirements into scalable technical solutions.
- Act as a bridge between business and technical teams, ensuring clarity, alignment, and execution.
- Apply strong analytical thinking to convert complex data into actionable insights, identifying trends, risks, and opportunities.
Requirements
What you’ll need- 10+ years as a Data Engineer, BI Engineer, Systems Analyst, or similar role in enterprise environments with large, complex datasets.
- Master’s degree in Computer Science, IT, Engineering, or equivalent experience.
- Deep expertise in relational databases (PostgreSQL, MSSQL, etc.) and performance optimization.
- Strong programming skills for data processing, automation, and analytics in Python.
- Experience with DBT, Snowflake, and cloud data architectures.
- Experience with Fivetran or similar tools.
- Operates independently with ownership of large, complex initiatives.
- Ability to connect data architecture with business outcomes.
- Strong ability to manage multiple initiatives across global teams.
- Exceptional analytical and troubleshooting skills
- Thrives in fast-paced, cross-functional environments across time zones.
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringbusiness intelligencesystems analysisrelational databasesperformance optimizationPythondata processingautomationanalyticscloud data architectures
Soft Skills
analytical thinkingstakeholder communicationchange managementuser enablementcross-functional alignmentrisk mitigationownershiptroubleshootingadaptabilityinitiative management
Certifications
Master’s degree in Computer ScienceMaster’s degree in ITMaster’s degree in Engineering