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The Data Product Delivery Lead is responsible for driving the successful delivery, adoption, and long-term value of data products across commercial, operational, and customer-facing domains. This includes areas such as parts and service, pricing, lead generation, external data integration, and broader commercial analytics. The role blends customer-facing leadership with strong data engineering and data product creation skills, ensuring that solutions are built on modern open lakehouse architecture and aligned with ClimateSolutionsAmerica's (CSA) business priorities. This leader partners with cross-functional teams to translate business objectives into scalable, production-ready data products that support enterprise transformation.
Job Responsibility:
Serve as the primary delivery partner supporting CSA teams in shaping solution approaches, delivery plans, and customer adoption strategies across commercial and operational domains
Lead discovery sessions with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define data product requirements and measurable outcomes
Translate business needs into technical specifications, delivery roadmaps, and value-focused product backlogs
Build strong relationships with customer stakeholders to ensure alignment, transparency, and sustained value realization
Own the end-to-end lifecycle of data products supporting use cases such as pricing optimization, parts availability insights, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics
Prioritize features and enhancements based on business value, feasibility, and customer impact
Lead cross-functional delivery teams—including data engineers, analysts, platform engineers, and SMEs—through Agile execution
Ensure data products follow medallion architecture principles (bronze/silver/gold) for quality, scalability, and reusability
Oversee the design and development of data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks
Lead the implementation of open lakehouse architectures capable of supporting structured, semi-structured, and unstructured data
Ensure strong data quality, lineage, metadata management, and governance practices across all delivered products
Support integration of diverse data sources including CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external data providers
Partner with commercial, operational, customer success, and engineering teams to ensure alignment across strategy, delivery, and adoption
Communicate progress, risks, and outcomes to internal and external stakeholders
Support pre-sales and solution-shaping conversations when needed to validate delivery feasibility and architectural direction
Requirements:
Bachelor's degree in Computer Science, Data Science, or Engineering
5+ years of experience in a Product Management role
leading end-to-end product delivery, including product roadmap implementation
5+ years of experience with stakeholder management and cross-functional collaboration across all organizational departments
5+ years of experience in a data analytics or data engineering role building data models and production grade data products
3+ years of experience in supply chain, logistics, or manufacturing industry
Must have unrestricted authorization to work in the USA. No visa sponsoring available
Nice to have:
Master's degree in Computer Science, Data Science, or Engineering
Experience with cloud platforms AWS, Snowflake and GCP
familiarity with GCP is considered a plus
Background supporting commercial, operational, or customer-facing analytics in enterprise environments
Exposure to ML/AI workflows and MLOps practices
Hands-on experience with open lakehouse architectures and medallion data product design
Proficiency in SQL, Python, and modern ETL/ELT frameworks
Understanding of data governance fundamentals including data quality, lineage, cataloging, and access controls
Experience integrating and modeling data from ERP systems, with preference for SAP
Familiarity with pricing, parts and service operations, lead generation, customer lifecycle analytics, and external data enrichment
Understanding of commercial KPIs, funnel metrics, pricing structures, and operational performance indicators
Ability to translate business objectives into data product requirements across multiple functional areas
Proven ability to lead customer engagements, manage expectations, and drive adoption of technical solutions
Strong communication skills with the ability to translate between business and technical audiences
Experience leading cross-functional teams in an Agile delivery model
Ability to manage multiple initiatives and prioritize based on value and urgency
What we offer:
Health Care Benefits: Medical, Dental, Vision
Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days, up to 15 days
paid sick days, up to 5 days
paid personal leave, up to 5 days
paid holidays, up to 13 days
birth and adoption leave
parental leave
family and medical leave
bereavement leave
jury duty leave
military leave
purchased vacation
Disability: Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment