Excellence Lead

About Datavations 

Datavations is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment. 

Our values 

• We value execution: momentum is everything 
• Belief in the power of positivity: we are encouraging and take risks 
• Proactive ownership: we are passionate about driving financial value with creative data product 
• Foster collaboration: we welcome help and always extend a helping hand, internally and externally 

About the Role 

As an Excellence Lead, you will

Responsibilities & skills 

STRATEGY

• Contribute to the development, maintenance, and vision for the next-generation data platform, bringing a $2.4 Trillion US market into the future
• Conduct FP&A with the CEO for the use of proceeds planning and assist in technical due diligence for fundraising and with customers
• Report to the CTO and contribute to the development roadmap, and implementation in project management
• Considering feasibility and engineering teams' resources, customer-centric prioritization is needed to ensure that business outcomes are properly defined, approved, and delivered
• With the support of the CTO, participate in leadership meetings to set quarterly and annual goals and be accountable for achievements, utilize the Vision Traction Organizer to do so

MANAGEMENT

• Handle day-to-day delegation and mentorship for a team of data scientists and engineers to serve as the glue between the data source and the product
• Streamline communication and organization with other team leads to enable growth and differentiation by serving as the steward for data excellence
• Facilitate development framework (SCRUM, AGILE, ATLAS etc.) for the Excellence team by leading both development and production meetings
• Build and manage the end-to-end project plan and monitor/report progress to prioritize and measure return on investment in collaboration with the product manager and CTO
• Manage each individual in the excellence team. Be responsible for hiring, firing, promotions, and performance reviews
• Establish team SLA and refresh job descriptions of developers

DEVELOPMENT

• Act as a player-coach: provide strategic guidance and mentorship to your team while staying close enough to the work to step in and contribute hands-on when needed
• Implement ideas from customers, product and revenue teams in a scalable and user-friendly fashion
• Generate thought leadership for developers who need guidance, and unblock ideas from developers who have visions that will drive performance for the company
• Develop methods to detect, monitor, and alert on anomalies in data for signal and noise detection
• Use relational and dimensional modeling techniques to create consistent, reusable, and extendible representations of inventory, price, and sales data
• Develop KPIs to drive customer value from the data to be fed into BI tools at ease
• Own sourcing and ingestion of customer data

Experience 

• 4+ years of experience in managing engineering teams including but not limited to data engineers, data scientists, and devops engineers
• 3+ years of experience as an individual contributor in a data platform, data engineering, or data science role 
• Ability to represent engineering interests at the executive level through clear communication of team accomplishments, challenges, and resource needs, with experience preparing KPIs and metrics for leadership review.
• Excited by the opportunity to define the engineering roadmap, not only with our internal stakeholders teams, but also hands on with our customers.
• Demonstrated expertise in establishing and enforcing code quality standards through rigorous review processes, while simultaneously developing junior engineers' capabilities through hands-on mentorship.
• Experience driving engineering teams through complete Jira-tracked development cycles, with the ability to identify and remove blockers, maintain accurate ticket statuses, and ensure consistent velocity across multiple sprints.
• Experience working with retail or consumer data or alternative data sources
• Deep expertise with Cloud Data Warehouses (ClickHouse, Amazon Redshift, Snowflake)
• Expert in SQL and experience building and maintaining a dbt project supporting internal and external customer teams. 
• On-the-job experience using supporting services of a scalable data platform, such as CI/CD pipelines (GitHub Actions, Jenkins), deployment strategies (canary, blue/green), monitoring and observability tools (CloudWatch, DataDog). 
• Passionate about building massively scalable data platforms.
• Ability to work hybrid from our NYC office Tues-Thurs

Why Join Datavations

• Impact at Scale: Influence a $2.3 trillion industry by shaping how data science accelerates ROI for major manufacturers.
• Autonomy & Growth: Enjoy the freedom to experiment with new technologies and see your ideas realized in production.
• Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.
• Professional Development: Work with Terraform, OpenTelemetry, GenAI coding tools, and modern observability stacks.