At a Glance
- Tasks: Lead SaaS solutions implementation and configuration for clinical studies in a dynamic environment.
- Company: Join a leading Pharma company with a focus on innovation and technology.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- Other info: Fast-paced, collaborative culture with a focus on quality and efficiency.
- Why this job: Make a real impact in healthcare by leveraging AI and SaaS technologies.
- Qualifications: 5-8 years in SaaS implementation with strong technical and customer-facing skills.
Hi All, I am looking for a SaaS Solutions Engineer to join a large Pharma company. This is a contract role initially for 6 months but will be extended. This is a remote contract. Needs to be confident with SaaS companies in a regulated environment and have clinical operations/life science experience. Understanding of AI helps.
You will be joining the Delivery team as a senior hands-on implementer and customer-facing technical lead. You will own the end-to-end configuration and activation of the company's solutions for customers, covering clinical study and protocol setup, data pipeline and integration configuration, and live troubleshooting through go-live and hypercare. This role sits at the intersection of technical delivery and customer partnership.
You will configure the company's platform to meet the specific requirements of each customer study and protocol, guide customers through data integration onboarding, and be present and decisive during go-live windows when the pressure is highest. You will work across multiple concurrent customer rollouts, product releases, and our flagship customer programme simultaneously. The expectation is that you can operate independently, bring structure quickly, and escalate with a recommended path rather than just a problem.
This role will suit someone who has built real depth in enterprise SaaS configuration and implementation, understands how data moves between systems, and brings the kind of technical credibility that earns trust with customer teams from the first session. AI tooling fluency is expected, not optional.
What You'll Do- Clinical Study & Protocol Configuration: Configure the company's platform to meet customer-specific study and protocol requirements. Work directly with customers to understand configuration needs, validate setup against agreed specifications, and ensure the solution is fit for purpose before UAT begins.
- Data Pipeline & Integration Configuration: Lead data integration onboarding for customers, including requirements gathering, pipeline configuration, API setup, and connectivity testing between customer systems and the company's platform.
- Go-Live & Hypercare: Own the go-live window. Triage and resolve configuration and integration issues in real time, escalate with full context where needed, and maintain customer confidence under pressure. Stay close through hypercare until stability is confirmed.
- Customer Technical Guidance: Act as the customer's senior technical guide throughout implementation. Translate platform capability into practical configuration decisions and push back where customer requests would compromise delivery quality or timeline.
- Release Impact Management: Assess the impact of product releases on existing customer configurations across multiple concurrent accounts. Manage the update and revalidation process to keep deployments current and stable.
- Documentation & Playbooks: Build and maintain configuration guides, implementation playbooks, and onboarding checklists that the wider delivery team can scale from. Treat documentation as a delivery output, not an afterthought.
- Cross-Functional Collaboration: Work closely with the Data Delivery Lead, Test Manager, SaaS PM, and Engineering to close gaps between what is built and what customers need. Feed structured implementation insight back into product and roadmap conversations.
- AI-Driven Efficiency: Actively use AI tooling to accelerate configuration, documentation, and troubleshooting. Model the pace and approach the company expects from its delivery team.
You are technically sharp, practically minded, and have 5 to 8 years of enterprise SaaS implementation experience behind you. You have configured platforms in customer environments, understand how integrations fail and why, and know how to hold a customer's confidence when things get hard. You bring structure to unstructured situations, communicate clearly across technical and non-technical audiences, and are drawn to environments that move fast and expect senior contributors to lead rather than wait.
Essential Qualifications experience:- 5 to 8 years in a SaaS implementation, solutions engineering, or technical delivery role with direct customer responsibility.
- Background in enterprise data and AI platforms strongly preferred (e.g. Snowflake, Databricks, Palantir, Veeva, Komodo Health, Datavant, or similar).
- Proven hands-on experience configuring SaaS platforms to customer specifications.
- Proficiency in API setup and testing, data pipeline configuration, and integration troubleshooting.
- Comfortable in cloud environments (AWS, Azure, or GCP).
- Ability to understand structured data flows, perform data mapping, and diagnose pipeline issues without defaulting to engineering escalation for every problem.
- Demonstrated ability to lead technical workstreams directly with customers, manage expectations during high-pressure go-live periods, and represent the delivery team at a senior level in customer meetings.
- Active use of AI tools in day-to-day workflow. Ability to apply AI to accelerate configuration, documentation, and problem diagnosis at pace.
- Strong written and verbal communication. Able to adjust register for technical and non-technical audiences and document clearly enough that others can execute from your output.
- Comfortable in a start-up pace within a regulated industry. Able to operate with ambiguity, build process where none exists, and hold delivery quality without being managed into it.
- Direct experience in digital health, life sciences SaaS, or clinical trial technology platforms.
- Familiarity with clinical data standards or study structures (e.g. CDISC, USDM) is a strong advantage.
- Experience managing flagship or strategic customer accounts alongside a broader portfolio.
- Familiarity with integration monitoring tools, automated testing, and customer delivery playbooks.
SaaS Solutions Manager in Slough employer: Teksystems
Join a leading Pharma company as a SaaS Solutions Manager, where you will thrive in a dynamic remote work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to cutting-edge AI tools and the opportunity to lead impactful projects in clinical operations, all while being part of a supportive team that values your expertise and contributions. This role not only offers competitive compensation but also the chance to make a meaningful difference in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land SaaS Solutions Manager in Slough
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who work at SaaS companies or in pharma. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a demo or a technical interview where you can showcase your SaaS configuration and integration know-how. This is your moment to shine and prove you can handle the pressure.
✨Tip Number 3
Be proactive! Follow up after interviews with a thank-you note that highlights something specific you discussed. It shows you're genuinely interested and keeps you fresh in their minds.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace SaaS Solutions Manager in Slough
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the SaaS Solutions Manager role. Highlight your experience with SaaS implementations, especially in regulated environments, and showcase any relevant clinical operations or life sciences background.
Showcase Your Technical Skills:We want to see your hands-on experience with SaaS platforms! Be specific about your configuration skills, API setup, and data integration work. Mention any AI tools you've used to enhance your workflow, as this is a big plus for us.
Communicate Clearly:Your written communication should be clear and concise. Remember, you’ll be interacting with both technical and non-technical audiences, so adjust your language accordingly. Use bullet points where necessary to make your application easy to read.
Apply Through Our Website:Don’t forget to submit your application through our website! This ensures it gets to the right people quickly. Plus, it’s the best way to stay updated on your application status and any next steps.
How to prepare for a job interview at Teksystems
✨Know Your SaaS Inside Out
Make sure you’re well-versed in the specific SaaS solutions the company offers. Brush up on their platform capabilities, especially around clinical study configurations and data integration. This will help you speak confidently about how you can tailor their solutions to meet customer needs.
✨Showcase Your Technical Credibility
Prepare to discuss your hands-on experience with SaaS implementations and integrations. Be ready to share specific examples of how you've tackled challenges in previous roles, particularly in high-pressure situations like go-lives. This will demonstrate your ability to maintain customer confidence when things get tough.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with both technical and non-technical audiences, so being able to adjust your language is key. Consider role-playing with a friend to refine your communication skills before the interview.
✨Emphasise Your AI Tool Fluency
Since AI literacy is a must for this role, be prepared to discuss how you’ve used AI tools in your past work. Share specific instances where AI has helped you accelerate processes or troubleshoot issues. This will show that you’re not just familiar with AI, but that you actively leverage it to enhance your work.
