Senior Manager, Business Solutions

Role Overview

• Lead day-to-day operations of TA Scan and OpenTA: data quality assurance, compliance workflows, platform maintenance, and cross-team coordination with DevOps, engineering, and product to resolve operational issues, prioritize requests, and ensure platform stability.
• Manage and mentor a small team
• Oversee QA across all platform environments: review automated test results, identify anomalies, and coordinate resolution with development. Bring a strong eye for detail.
• Maintain and update platform manuals and operational documentation.
• Manage the client relationship end-to-end: technical set-up, onboarding, training, business reviews, and client support tickets resolution.
• Proactive account health monitoring: user and client account management to identify risks, training needs, and engagement opportunities to support renewals
• Support the sales team on demos, RFP responses, prospect analyses, trial period support, and conferences.
• Collaborate with the marketing and product teams on platform messaging, product positioning, and sales enablement materials.
• Other duties as assigned.

Requirements

• Highly effective: manages multiple workstreams simultaneously, prioritizes independently, and delivers without close supervision.
• Strong analytical mindset and data literacy: comfortable with structured data outputs, data architectures, and familiarity with data quality principles and validation workflows; able to spot anomalies and turn findings into clear actions.
• Excellent communication skills across all audience types; able to write technical documentation, run client demos and training sessions, and interact daily with engineers in a precise and constructive way.
• Strong eye for detail: accuracy in data, documentation, and client-facing materials is non-negotiable.
• Proven ability to lead or coordinate a small team: task assignment, mentoring, onboarding, and day-to-day people management.
• Client-facing experience: technical sales support, training sessions, and business reviews with pharma or life sciences stakeholders.
• At ease working in an AI-first environment: uses AI tools to drive efficiency, quality, and scale across operations, QA, and client deliverables. Experience with AI-assisted workflows or automation is a strong plus.
• Proficient in MS Office (Excel, Word, PowerPoint). Basic SQL knowledge or familiarity with tools such as JIRA, HubSpot, Salesforce, or SpiraTest is a plus.
• Good understanding of software systems and the implementation lifecycle; able to bridge business needs and technical teams.
• Exposure to marketing, product positioning, or content strategy is a plus — the candidate may contribute to messaging and go-to-market initiatives alongside the product and marketing teams.

QUALIFICATIONS NEEDED

• Bachelors degree or equivalent experience in Life Sciences, Biomedical Sciences, Data Science, Information Management, or a related field.
• 5+ years of experience in a role combining data operations, client success, or business solutions within pharma, biotech, or clinical data technology.
• Good understanding of clinical trial processes, disease groups, and the pharma/biotech commercial landscape. Knowledge of MeSH is a plus.
• Demonstrated experience managing or coordinating a team in a flat or fast-moving organization.
• Proficiency in English, both verbal and written. Additional languages are an asset.
• Experience in a startup or scale-up environment is strongly preferred; comfortable with ambiguity and willing to take on responsibilities beyond a defined scope.

Tech Stack

• SQL