Manager of Data Engineering and Analytics Consulting at Ippon Technologies

Job DescriptionJob DescriptionWe’re hiring a Manager of Data Engineering & Analytics Consulting! Employment type: Full Time/Direct Hire Only (No Agencies)Location: Atlanta GA Metro, Washington DC Metro, Charlotte Metro, NYC, or Richmond, VALocation Type: Hybrid - Home Office/Local Ippon office (1-2 days per week onsite)About Ippon:The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY,  Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, Data, and Software Engineering. Our culture and reputation is driven by our COACH values; our Ipponites are Collaborative, Open-minded, Adaptable, Courageous, and Hungry. About the position:The Manager of Data Engineering & Analytics Consulting leads project delivery, strengthens client relationships, and leads team development. This role blends technical leadership with people management, ensuring high-quality, on-time solutions that drive business value. The Manager also mentors consultants, supports pre-sales, and translates complex needs into practical data solutions across cloud, engineering, and analytics. Ideal for a results-driven, client-focused leader passionate about impact and growth.Roles and Responsibilities:Project Delivery & Technical Leadership:Lead and oversee the successful delivery of data engineering and analytics projects, ensuring outcomes align with client goals and contractual obligationsAct as a hands-on contributor when needed, helping architect and implement data solutions across cloud platforms such as Snowflake.Support pre-sales efforts by participating in scoping calls, developing proposals, estimating effort, and presenting technical solutions to prospective clientsContribute to internal initiatives such as playbook development, accelerator design, or knowledge sharing to improve delivery efficiency and consistencyHelp drive continuous improvement by providing feedback on processes, tools, and methodologies across the practiceTravel to client sites as needed, generally within the US, with an expectation of occasional multi-day trips depending on engagement needsClient & Team Development:Serve as the primary point of contact for client stakeholders, building trusted relationships and ensuring high levels of satisfaction throughout engagementsMentor, manage and develop consultants on both technical and consulting competencies, fostering a high-performing, collaborative team cultureIdentify upsell or cross-sell opportunities during delivery and collaborate with Client Success or Sales teams to convert them into formal engagementsRepresent the firm at industry events, meetups, or conferences to expand your network and promote the practiceCompetencies we are looking for:Minimum Requirements:5+ years of experience in data engineering, analytics, or data consulting, with proven success in client-facing and delivery roles3+ years of experience in modern cloud data platforms with an emphasis on Snowflake, in addition to familiarity with Databricks, Azure Synapse, or AWS Redshift3+ years of experience with AWS-native ETL tools such as Glue, EMR, and Step FunctionsDemonstrated ability to lead project delivery, manage small technical teams, and translate business needs into scalable data solutionsWillingness to travel for client engagements as neededPreferred Requirements:Prior experience in a consulting or professional services environmentFamiliarity with complex AWS environments and services such as S3, Athena, IAM, Lambda, Step Functions, Secrets Manager, API Gateway, SQS, SNS, Kinesis, DMS, Glue, and Direct ConnectExperience supporting pre-sales efforts, including proposal development, scoping, and technical demosExposure to data governance, quality frameworks, or enterprise data strategy initiativesFamiliarity with AI/ML pipelines or integrating ML models into data solutions (POC or production)Proficiency with infrastructure-as-code tools such as Terraform, CloudFormation, or KubernetesExcellent written and verbal communication skills, with the ability to present complex topics to technical and non-technical audiencesWhat we offer:Great salary and benefits - Health (HDHP & PPO Plans), dental, and vision insurance, HSA, EAP, as well as a 401k with company matchWork/life balance - Ippon offers generous PTO, parental leave, medical leave, and flexible schedulesA fun, creative, and healthy work environment, focused on teamwork, knowledge-sharing, and exceptional deliveryOpportunities to expand your portfolio and work with different companies and industriesCareer growth, up-skilling, cross-training, and leadership opportunitiesWe value the diversity and different perspectives each of our employees bring to Ippon Technologies.Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran, or disability status.Visit us on LinkedIn or at https://ipponusa.com to learn more.So, do YOU speak Ippon?