Ascentt · 1 month ago
Senior Business Intelligence (BI) Architect
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. The Senior Business Intelligence (BI) Architect will be responsible for designing and developing the enterprise-wide business intelligence architecture, transforming raw automotive data into actionable insights for stakeholders.
AnalyticsArtificial Intelligence (AI)AutomotiveBig DataBusiness IntelligenceInformation TechnologyMachine LearningManufacturingMedia and Entertainment
Responsibilities
Lead the design and implementation of a scalable, secure, and modern end-to-end BI architecture, specifically tailored to handle large volumes of automotive data (e.g., IoT data streams, historical vehicle performance)
Develop and maintain the strategic roadmap for our BI and analytics platforms, translating complex business requirements into technical specifications, data models, and solution blueprints
Establish and enforce architectural standards, best practices, and development guidelines
Design and implement robust, scalable dimensional and relational data models for the enterprise data warehouse (EDW) and departmental data marts, incorporating automotive-specific data entities (e.g., vehicle master data, telematics logs, sales contracts)
Architect and oversee the development of ETL/ELT pipelines to integrate data from disparate automotive sources (e.g., SAP/ERP systems, Dealer Management Systems (DMS), manufacturing execution systems, connected vehicle APIs)
Design and develop the semantic layer for BI tools (e.g., Power BI, Tableau, Looker) to provide a single source of truth for automotive KPIs (e.g., sales rate, dealer profitability, warranty cost per unit)
Optimize query performance and data structures to support complex analytics, such as predictive maintenance or demand forecasting
Serve as the senior technical lead and mentor for BI developers and data engineers
Collaborate closely with business stakeholders (e.g., Manufacturing, Aftermarket, Sales/Marketing) to define project scope and deliver impactful solutions
Champion data literacy and best practices in data consumption across the organization
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
MANDATORY: 7+ years of hands-on experience in the automotive industry (OEM, Tier 1 Supplier, or large dealership group) specifically focused on BI, data warehousing, or analytics architecture
MANDATORY: Deep familiarity with key automotive data domains and common data sources (e.g., Connected Car/IoT data ingestion, VIN decoding/master data, warranty and service data, dealer sales and inventory)
12+ years of overall experience in the data and analytics field, with at least 8 years in a BI architecture or solutions architect role
Expert-level proficiency in SQL and experience designing and implementing enterprise-scale data warehouses
In-depth knowledge of data modelling methodologies (e.g., Kimball, Inmon) and experience with modern ETL/ELT tools (e.g., dbt, Matillion, Azure Data Factory, AWS Glue)
Extensive experience architecting solutions with leading BI platforms (e.g., Power BI, Tableau, Looker, Alteryx)
Strong understanding of data governance, data quality, and security best practices
Preferred
Master's degree in a related field
Experience with cloud-based data platforms and services (e.g., Snowflake, AWS Redshift, Google BigQuery, Azure Synapse Analytics)
Proficiency in a programming language such as Python for data manipulation and automation
Familiarity with DataOps/DevOps principles and CI/CD pipelines in a data context
Experience analyzing telematics and IoT data streams from vehicles
Relevant cloud or industry-specific data certifications
Company
Ascentt
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers.
H1B Sponsorship
Ascentt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (24)
2024 (26)
Funding
Current Stage
Growth StageRecent News
Business News Americas
2025-07-04
2022-03-25
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