This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
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
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
Reply Burr Ridge, Illinois, USA Office
745 Mc Clintock dr. Suite 210, Burr Ridge, United States, 60527
Reply Chicago, Illinois, USA Office
330 N. Wabash, 23rd Floor, Suite 156, Chicago, United States, 60611
Similar Jobs
Fintech • Financial Services
Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.
Top Skills:
Binary Market Data ProtocolsCC++Ci-CdDockerFixGitHdbKdb+/QKernel-BypassLinuxMulticastNumactlPerfPythonSbeStraceStreaming/Message Bus PlatformsTcpdumpTickerplant
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Lead and coach a data science team to design, develop, and deploy predictive and prescriptive analytics. Partner with business leaders to identify opportunities, drive adoption of models and insights, manage vendors, and establish data science methodology to deliver measurable business impact.
Top Skills:
AzureDatabricksDistributed ComputeMachine LearningPythonRSQL
Fintech
Lead a team of software engineers and data analysts to design, build, and deliver scalable data platforms, pipelines, APIs, reporting, and monitoring for commercial banking and treasury management. Partner with product and business stakeholders, ensure data quality, resiliency, and compliance, and coach engineers while translating strategy into measurable delivery roadmaps.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
