Senior Lead Data Product Management Consultant – Auto Data & Insights

Responsibilities

• Define target‑state models for new data sources
• Ensure models are scalable and reusable across products
• Apply enterprise data management policy and drive model standardization across domains
• Evaluate impact of data model changes across regulatory reporting, analytics, and operations
• Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product lifecycle
• Provide vision, direction, and expertise to senior leadership on implementing innovative and significant data product solutions that are large-scale cross‑functional or company wide strategies
• Lead complex data product initiatives, delivering scalable solutions aligned to data governance standards; perform deep dives into current data models to understand structure and define target‑state design while guiding cross‑functional teams
• Provide expert input on new use case intake, prioritization, product roadmap definition, and other critical business processes
• Lead end‑to‑end data projects, from requirement gathering to solution delivery
• Design and implement scalable data models, pipelines, and governance frameworks
• Provide thought leadership on data strategy, architecture, and emerging technologies
• Collaborate with cross‑functional teams (Business, Technology, Operations) to align analytics solutions with organizational goals
• Ensure compliance with data security, privacy, and regulatory standards

• 7+ years of data product or data management experience
• Proven expertise in data analysis, data management, data modeling, and data engineering
• Strong understanding of data as a product
• Understanding of data integration patterns (ETL/ELT/streaming)
• Experience in auto lending or financial services
• Ability to write, read, and optimize queries for data extraction, transformation, and analysis using SQL
• Ability to navigate ambiguity and drive clarity in fast‑paced environments
• Excellent communication, stakeholder management and influencing skills
• Data warehousing experience (EDW, marts, dimensional modeling)
• Knowledge of metadata and lineage tools
• Knowledge of process improvement methodologies
• Strong proficiency in SQL, Python/R, and advanced analytics tools
• Fluent in agile ways of working and agile project management practices

Demonstrates expertise in data product management, data modeling, and data governance, with a strong focus on delivering scalable solutions and aligning analytics with organizational goals. Proficient in SQL, Python/R, and agile project management practices to drive clarity and innovation in data strategies.

• Data Product Management
• Data Modeling
• SQL Proficiency
• Data Governance Standards
• Agile Project Management

• Data Analysis
• Data Management
• Data Engineering
• Data Integration Patterns
• Data Warehousing
• ETL/ELT
• SQL
• Python/R
• Advanced Analytics Tools
• Dimensional Modeling

• Excellent Communication
• Stakeholder Management
• Influencing Skills
• Navigating Ambiguity
• Driving Clarity

• Auto Lending
• Financial Services
• Regulatory Compliance
• Data Security
• Privacy Standards

• Metadata Tools
• Lineage Tools
• Data Governance Frameworks