Tekion Corp · 20 hours ago
Senior Manager, Data Analytics
Pleasanton, CA
Full-time
Onsite
Senior Level, Lead/Staff
$191K/yr - $286K/yr
8+ years expTekion Corp is positively disrupting the automotive industry with its innovative cloud-native automotive platform. The Senior Manager, Analytics leads a team of Data Product Managers to deliver data-driven insights and analytics products that support business growth and decision-making across various departments.
Artificial Intelligence (AI)AutomotiveBig DataMachine LearningManagement Information SystemsSoftware
No H1B
Responsibilities
Develop and own the Analytics and Enterprise AI strategy and roadmap for key business areas, ensuring alignment with enterprise data management and AI objectives
Collaborate with senior business stakeholders to scope high-impact problems, define success metrics, and co-create analytics roadmaps that inform product development and operations
Champion data-driven decision-making by promoting consistent KPIs, self-service analytics tools, and evidence-based recommendations at the executive level
Lead and expand a team of Data Product Managers, including hiring, coaching, performance management, and career development
Foster a collaborative, inclusive environment that encourages innovation, experimentation, and continuous improvement in analytics tools, methods, and processes
Oversee the design, execution, and delivery of advanced analytics, predictive models, and data products using modern cloud-based data platforms
Guide Data Product Managers in building reusable semantic layers, dashboards, and ML-powered insights tailored to stakeholder needs
Ensure analytical rigor through data validation, peer reviews, and comprehensive documentation; translate complex findings into clear, actionable recommendations for non-technical audiences
Champion a "data as a product" mindset by partnering with domain owners to deliver trusted, well-documented datasets with clear ownership and defined SLAs
Drive adoption of an enterprise data catalog to enable self-service data discovery, document data lineage, and provide transparency into data assets across the organization
Own the enterprise business glossary in partnership with business stakeholders, ensuring consistent definitions and semantic alignment across reports, metrics, and data products
Lead data profiling initiatives to assess source data for completeness, accuracy, consistency, and fitness for analytics and AI use cases
Define and enforce data quality rules, thresholds, and scorecards across critical data domains; establish remediation workflows to address issues before they impact downstream consumers
Define success criteria, data dependencies, and certification standards within owned functional domains
Design data ecosystems that support advanced analytics, machine learning, and AI-driven insights—ensuring structured and unstructured data (including documents and logs) are accessible, reliable, and actionable
Demonstrate hands-on experience with AI agents and generative AI, including building and integrating conversational bots, autonomous agents, and generative AI models into enterprise workflows
Evaluate generative AI frameworks, develop governance around prompt engineering and model outputs, and guide teams on safely incorporating these technologies into products
Establish data governance best practices for AI, including metadata tagging for training data, model lineage tracking, bias detection, and privacy controls
Ensure AI data pipelines comply with ethical and regulatory requirements (e.g., GDPR, CCPA) and align with enterprise governance frameworks
Partner with data engineering, analytics engineering, and BI teams to enhance data pipelines, governance, and analytics tooling
Define and govern key metrics, data quality frameworks, and compliance standards, integrated with enterprise MDM and AI workflows
Establish and operationalize data quality monitoring frameworks integrated with data pipelines to proactively detect anomalies, drift, and SLA breaches before impacting business decisions
Implement data profiling automation as part of onboarding new data sources into the analytics ecosystem, reducing time-to-insight and mitigating downstream quality risks
Evaluate and drive adoption of analytics tools, and experiment with modern formats such as LLMs, agentic workflows, and Apache Iceberg for efficiency gains
Lead analytics for cross-functional initiatives, ensuring measurement plans are in place from the start and drive iterative improvements
Manage change related to the rollout of new data products or metrics, including leading training, adoption efforts, and gathering stakeholder feedback
Proactively communicate data limitations, risks, and ethical considerations to guide pragmatic stakeholder decisions
Collaborate with data scientists and ML engineers to design feature engineering pipelines, model training datasets, and MLOps workflows
Oversee the development, deployment, and monitoring of AI models, ensuring business objectives are met and measurable value is delivered
Qualification
Required
8+ years of experience in data analytics, with at least 3 years of managing data product managers teams in enterprise environments
Proven ability to influence and collaborate with senior stakeholders
Successful experience hiring, coaching, and developing high-performing analytics teams
Commitment to fostering an inclusive, innovative, and performance-driven team culture
Experience with data catalog tools (e.g., Alation, Collibra, Atlan) and metadata management
Experience with data quality tools/frameworks (e.g., Great Expectations, Monte Carlo, dbt tests)
Experience with prompt engineering, AI agents, or GenAI frameworks
Excellent communication skills: able to translate complex data concepts for technical and non-technical audiences and influence senior leaders
Demonstrated cross-functional collaboration, especially with engineering, operations, product management, and business units
Strong strategic thinking and problem-solving skills; ability to translate business strategy into scalable data architecture
Benefits
Competitive compensation and generous stock options
100% employer-paid top-of-the-line medical, dental and vision coverage
Great benefits including unlimited PTO, parental leave and free snacks and beverages
The opportunity to work with some of the brightest minds from Silicon Valley's most dominant and successful companies
Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper
Work on the latest and coolest technologies – everything is home-grown and built ground-up
A dynamic work environment with a strong sense of community and collaboration
The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy
Exciting opportunities for career growth and development
Company
Tekion Corp
Tekion is redefining automotive retail with an end-to-end, AI-native platform purpose-built for the industry.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$635.1MKey Investors
Dragoneer Investment GroupAdvent InternationalBMW i Ventures
2024-07-16Private Equity· $200M
2021-10-05Series D· $250M
2020-10-21Series C· $150M
Leadership Team
Jay Vijayan
Founder and CEO
Guru Sankararaman
Co-founder and Chief Operating Officer
Recent News
Company data provided by crunchbase