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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, modeling, and modern data platforms, with a strong focus on translating business objectives into technical solutions. Proven ability to lead cross-functional teams and engage with senior stakeholders while applying design thinking and agile methodologies.
Highest-signal resume keywords
Data ArchitectureSQLSparkCloud EcosystemsAI/ML Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringProduct ManagementTechnical RoadmapsSolution ArchitectureDesign ThinkingAgile DeliveryData GovernanceEthical AIPrototypingQuality Reviews
Soft Skills
Exceptional CommunicationPresentation SkillsFacilitation SkillsStrategic Problem-SolvingCollaborative Mindset
Tools & Technologies
DatabricksSnowflakeAWSGCPAzure
Industry Keywords
Data/AI ConsultingClient-Facing AdvisoryStakeholder ManagementExecutive PresenceFast-Paced Environments
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformSnowflakeSparkSQL
About the role
Key responsibilities & impact- Serve as a trusted advisor to C-suite and VP-level stakeholders
- Lead discovery sessions to identify data and AI opportunities
- Translate business objectives into technical roadmaps and solution architectures
- Present recommendations and solution demos to executive audiences
- Build strong client relationships and identify opportunities to expand engagements
- Apply design thinking to create user-centric data products
- Design end-to-end solutions balancing value, feasibility, and risk
- Define product roadmaps and phased delivery plans showing quick wins
- Ensure alignment with best practices in data governance, security, and ethical AI
- Lead cross-functional teams of data engineers, data scientists, and analysts
- Provide direction on data architecture, modeling, pipelines, and platform selection
- Guide teams working with modern data stacks including Spark, SQL, Databricks, and cloud platforms
- Build occasional prototypes or POCs to validate approaches
- Conduct quality reviews to ensure deliverables meet client expectations
Requirements
What you’ll need- 7–10 years in data/AI consulting, product management, or data engineering
- 3+ years in client-facing advisory roles
- Proven success managing senior stakeholder relationships and leading technical teams
- Background in consulting (MBB, Big 4, or boutique firms) preferred
- Strong understanding of data architecture, modeling, and modern data platforms
- Working knowledge of SQL, Spark, and cloud ecosystems (Databricks, Snowflake, AWS/GCP/Azure)
- Solid grasp of AI/ML concepts and implementation approaches
- Ability to evaluate technical approaches and guide engineering teams
- Exceptional communication and presentation skills
- Strong facilitation skills for workshops and stakeholder alignment
- Experience with design thinking, agile delivery, and product management frameworks
- Strategic problem-solving abilities and comfort managing multiple engagements
- Executive presence and credibility with senior leaders
- Collaborative, entrepreneurial mindset
- Comfort with ambiguity and fast-paced environments
Benefits
Comp & perks- Fully remote with flexible work arrangements
- Competitive compensation
- Performance bonuses
- Strong benefits