Bachelor's degree in computer science or related field
12 years of industry experience, including 4 years in a hands-on managerial role
4 years of consulting experience with Enterprise clients
Expertise in Microsoft Azure tools like Fabric, Azure Data Factory, and Power BI
Deep expertise with Databricks including enterprise architecture and strategy
Experience establishing data management and governance strategies
Excellent communication skills, adept at conveying complex concepts
Responsibilities
Assist in business development and technical sales by creating proposals and statements of work
Oversee delivery of data platform projects while ensuring client satisfaction
Provide mentorship and professional development for team members
Stay updated on trends and share knowledge through speaking and publications
Define executive-level data roadmaps and governance frameworks for clients
Collaborate with project management to ensure quality deliverables
Benefits
Innovative work environment with a focus on digital transformation
Opportunities for professional growth and team collaboration
Access to cutting-edge technologies like Microsoft cloud and data platforms
Culture that promotes flexibility and autonomy in work
Commitment to diversity and equal opportunity in the workplace
Full Job Description
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Minimum Requirements
Bachelor's degree in computer science or related field
12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
4 years of experience in a consulting role working directly with Enterprise customers
Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
Knowledge and familiarity with Microsoft Purview
DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
