Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines
Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources
Implement and enable cross functional data governance processes for management of data products and information solutions
Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform
Function as business lead responsible for translating business challenges into technical solutions.
Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats
Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders
Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI)
Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting
Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences.

Requirements:

Bachelors degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus
2-3 years of experience in commercial data management roles in a SaaS company
Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time
Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts
Familiarity with data analytics, data visualization, and machine learning
Experience with cloud-based data solutions (AWS, Azure, Snowflake)
Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO

Data Operations Specialist