Manager, Data Operations

• 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
• Manage a team of 3-5 data operations professionals.
• 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
• 5-7 years of experience in commercial data management roles in a SaaS company
• 3-5 years of direct people management experience.
• 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