Technical Onsite Lead, Customer Success Data Solutions
Job Description
Technical Onsite Lead, Customer Success
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MathCo — Chicago, Illinois, United States (Hybrid) Senior Associate or Engagement Manager
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About Us
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MathCo® (TheMathCompany) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data‑driven decision‑making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem‑solving through its innovative hybrid model, combining deep technical expertise with reusable accelerators to deliver at a lower TCO.
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We foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We offer exciting growth opportunities and value capabilities and attitude over tenure — enabling our Mathemagicians to truly Leave a Mark.
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Role Overview
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MathCo is hiring a Technical Onsite Lead for Customer Success to serve as the on‑site, technically fluent partner for a leading consumer marketplace client in Chicago. This role is open at either the Senior Associate or Engagement Manager level; placement will depend on demonstrated depth and experience.
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You will sit at the intersection of MathCo’s data science and engineering teams and the client’s business and analytics leaders — interpreting analytical outputs, shaping the narrative, and guiding stakeholders toward decisions that drive measurable impact. While not a full‑time engineer, you will be close enough to the analysis to perform exploratory checks, validate results, and challenge assumptions using AI tools and notebooks.
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You will report to the Associate Principal who leads the account and play a critical role in ensuring insights translate into decisions, decisions translate into outcomes, and outcomes translate into long‑term value.
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Primary Responsibilities
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Turn Analysis into Decisions
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- Interpret model outputs and analytical results, working closely with data scientists to understand what findings do — and do not — support.
- Shape clear, defensible messages from complex analyses, including assumptions, limitations, and confidence levels.
- Present insights to client teams and guide discussions toward actionable decisions in pricing strategy, segmentation, product experience, and next‑best‑action design.
- Follow decisions through to understand what changed and whether expected impact materialized.
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Do Hands‑On Analysis with AI Tools
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- Conduct exploratory analysis, validation checks, and scenario testing using AI tools and notebooks to answer client questions quickly and pressure‑test team outputs.
- Translate client business questions into analytical problem statements and help scope the right approach with data science.
- Review analytical deliverables for correctness, relevance, and clarity before they reach the client.
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Be the Client’s Technical Partner
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- Serve as the on‑site point of contact for analytics, product, and business teams — building trust through depth, responsiveness, and clarity.
- Explain solution architecture, data flows, methodology, and model behavior to audiences ranging from analysts to executives.
- Bring client feedback, data issues, and emerging needs back to the delivery team, identifying new use cases as they surface.
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Partner with the Delivery Team on Risks and Dependencies
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- Work with delivery leads and program managers to ensure risks, dependencies, and open decisions are identified and addressed with the right client stakeholders.
- Contribute technical and client context to program governance; RAID tracking is owned by delivery, but you are a key input.
- Raise issues early to the Associate Principal and delivery leadership.
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Adoption, Value, and Growth
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- Help the client adopt and act on what has been delivered, tracking the business impact of decisions made.
- Surface expansion opportunities and new analytical use cases to the Associate Principal.
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Key Attributes & Experience
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- 6+ years of experience in analytics, data science, consulting, or technical customer success for Engagement Manager level; fewer years may be considered for Senior Associate level based on demonstrated depth.
- Strong analytical foundation — comfort with statistics, experimentation, and machine learning concepts sufficient to interpret model results and spot weaknesses.
- Practical experience using AI tools, SQL, Python, or similar to conduct analysis; you do not need to be a production engineer.
- Proven ability to explain technical and analytical findings to business and executive audiences and influence decisions.
- Experience working with data science and engineering teams, including distributed teams across time zones.
- Strong written and verbal communication and the ability to build credibility with senior client stakeholders.
- Experience in e‑commerce, marketplace, pricing, or customer analytics is a plus.
- Bachelor’s degree or equivalent experience; a quantitative field is preferred.
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Location & About MathCo
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Location: Chicago, IL. This role is hybrid, with regular on‑site client engagement.
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About MathCo: MathCo is an AI and analytics company that helps enterprises turn data into measurable business outcomes, with offices in Chicago and Bangalore. MathCo is an equal opportunity employer and considers all qualified applicants without regard to protected characteristics.