Analytics Forward Deployed Software Engineer 3
Posted 3 days ago
The role in short
Lead the design and delivery of complex BI tools and agentic software solutions by embedding with internal customer teams to solve business challenges.
An Analytics Deployed Forward Software Engineer 3 leads the design and delivery of complex business intelligence and software solutions within healthcare, overseeing cross-functional initiatives and mentoring team members within the enterprise Business Intelligence (BI) team. This role requires expertise in software engineering, data architecture, AI/ML, cloud platforms, and BI tools, with responsibilities including customer engagement, process optimization, solution architecture, and leveraging AI-driven development to enhance operational impact and technical outcomes. As we strive for innovation and excellence, be part of our journey to become a world-class organization, shaping the future of healthcare with cutting-edge technologies and forward-thinking strategies.
Essential Functions
- Lead the strategic design, development, and maintenance of enterprise-level BI tools and operational applications.
- Serve as a functional team lead, providing technical guidance and mentorship to junior engineers and analysts.
- Engage directly with customer teams to understand business challenges and deliver tailored data solutions.
- Break down complex workflows into actionable steps for automation and optimization using custom software.
- Develop and deploy advanced analytics and operational software that supports strategic decision-making.
- Collaborate with cross-functional teams to solve high-impact problems using data science and engineering approaches.
- Define and improve team development processes, including coding standards, best practices, and documentation.
- Evaluate the impact of deployed solutions on business performance, metrics, and operational outcomes.
- Utilize AI-driven development tools and prompt engineering to enhance software capabilities and data analysis.
- Lead technical projects with minimal supervision, ensuring timely delivery and alignment with organizational goals.
This role will support the WARP (Widespread Agentic Rollout Platform) Agent Delivery Team.
Qualifications
Education Qualifications:
- Bachelor’s Degree Computer Science
- Bachelor’s Degree Engineering
- Bachelor’s Degree Data Science
- Bachelor’s Degree Related field
Experience Qualifications:
- Five (5) years of relevant technical experience required. Expert-level proficiency in SQL, Python, PySpark, TypeScript/JavaScript, and React.
Skills and Abilities:
- Advanced knowledge of Business Intelligence tools (e.g., Power BI, Tableau, Qlik Sense).
- Strong capabilities in AI/ML, including large language models (LLMs) and prompt engineering.
- Deep expertise in web development frameworks including JavaScript, HTML, CSS, React, and Angular.
- Advanced experience with version control systems such as Git and Azure DevOps.
- Proven track record of leading projects, mentoring team members, and driving strategic technical outcomes.
- Prior experience in healthcare or clinical analytics environments.
- Deep experience with cloud-based data platforms, data lakes, and relational databases.
- Demonstrated ability to apply process improvement methodologies such as Lean Six Sigma, Agile, PDCA/PDSA, and PMP to lead technical initiatives.
Prep for this interview
3 questions likely to come up at Tampa General Hospital, each matched to a line in this posting.
- 1LLMs, RAG and agents
They wrote: “Strong capabilities in AI/ML, including large language models (LLMs) and prompt engineering.”
When would you fine-tune a model, and when is prompting or retrieval enough?
How to answer
Why they ask: Customers often ask for fine-tuning first. They want to hear you pick the cheapest thing that works.
- Try clear prompts and examples first; measure against a test set
- If the model lacks the customer's facts, add retrieval
- Fine-tune when you need a format or behaviour prompts can't hold, and you have good examples
- Count the cost: training data, upkeep and re-testing on every model update
Tip: Start from what's wrong: missing knowledge points to retrieval, wrong style or format points to fine-tuning.
- 2Data and SQL
They wrote: “Five (5) years of relevant technical experience required. Expert-level proficiency in SQL, Python, PySpark, TypeScript/JavaScript, and React.”
Write a query that finds each customer's first and most recent order.
How to answer
Why they ask: A quick check that you're comfortable with grouping, joins and window functions.
- Clarify the tables and what counts as an order (cancelled ones?)
- Use MIN/MAX with GROUP BY, or ROW_NUMBER() if you need the whole row
- Handle ties on the same timestamp, and customers with no orders
- Explain how you'd test it on a few known customers
Tip: Say what you'd check in the data before writing the query: duplicates, time zones, nulls.
- 3Cloud, deployment and security
They wrote: “Advanced experience with version control systems such as Git and Azure DevOps.”
How would you debug a deployment that works in staging but fails at the customer's site?
How to answer
Why they ask: Customer environments differ in ways you can't see. This tests method under pressure.
- Compare versions, config and environment variables
- Check network rules, proxies and certificates (common in enterprise)
- Look at resource limits and permissions
- Add the missing check to your install steps afterwards
Tip: List the usual suspects and how you'd check each without full access.
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