Sr Technical Analyst ( Go-To-Market and AI Technologies) (Salesforce/Azure)

Sr Technical Analyst ( Go-To-Market and AI Technologies) (Salesforce/Azure)

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:

Why Syneos Health
• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Title : Senior Technical Analyst (Go-To-Market and AI Technologies) (Salesforce/Azure)

Education Requirements:

Minimum 4 Year / Bachelor's degree in computer science, information

technology, engineering, or related field.

Experience :

• • 5+ years of experience in enterprise application engineering, solution architecture, technical leadership, or related technology roles.
  • 2+ years designing and delivering AI, machine learning, or generative AI solutions, including production implementations rather than prototypes alone.
  • Experience leading architecture, solution design, development, testing, deployment, integration, and ongoing support across multiple products.
  • Experience delivering technology supporting sales, marketing, and deal-management processes, including:

• • • Prospecting, account planning, opportunity management, pipeline, and forecasting.
    • Campaigns, account-based marketing, lead management, digital engagement, and attribution.
    • Proposals, RFPs, pricing, approvals, contracting, and document generation.

• • Strong experience with Salesforce or a comparable enterprise CRM, including platform architecture, security, automation, data models, APIs, and integrations.
  • Experience with enterprise AI platforms such as Salesforce Agentforce, Microsoft Copilot/Azure AI Foundry, Databricks, or comparable technologies.
  • Experience integrating CRM, customer-data platforms, data lakes, content repositories, marketing platforms, sales-enablement tools, and deal-management systems.
  • Experience leading internal engineers, external partners, and multidisciplinary delivery teams.
  • Demonstrated success modernizing platforms, reducing technical debt, improving reliability, and transitioning solutions into sustainable operational support.
  • Experience operating in a complex, global, or regulated enterprise environment is preferred.

• AI Skills
  • Deep understanding of generative AI architecture, including large language models, agentic workflows, model orchestration, tool calling, and multi-agent patterns.
  • Experience designing retrieval-augmented generation solutions using structured and unstructured enterprise data.
  • Knowledge of document ingestion, parsing, chunking, embeddings, vector search, semantic retrieval, metadata, and enterprise knowledge management.
  • Ability to determine when to use prompting, retrieval, deterministic automation, predictive models, shared agents, or end-to-end AI solutions.
  • Experience with prompt design, reusable prompt templates, grounding, context management, and response-quality optimization.
  • Ability to design AI evaluation frameworks covering accuracy, relevance, completeness, groundedness, hallucination, latency, cost, and user acceptance.
  • Experience implementing human-in-the-loop controls, confidence thresholds, citations, approvals, and exception-handling processes.
  • Strong knowledge of responsible AI, privacy, intellectual-property protection, model risk, data security, and regulatory controls.
  • Experience monitoring production AI solutions for quality, drift, usage, performance, cost, and unintended outcomes.
  • Understanding of model selection and the tradeoffs among commercial models, open models, platform-native AI, and custom development.
  • Ability to design reusable AI services and patterns that can support multiple GTM products and avoid unnecessary duplication.

• Technical Skills
  • Strong solution- and integration-architecture skills, including APIs, event-driven patterns, middleware, authentication, authorization, and identity management.
  • Strong understanding of data architecture, master data, data quality, lineage, metadata, and governance.
  • Experience with cloud architecture, software engineering standards, source control, automated testing, CI/CD, DevSecOps, and release management.
  • Ability to establish nonfunctional requirements for security, scalability, availability, maintainability, performance, and disaster recovery.
  • Experience diagnosing complex production issues and establishing monitoring, incident-management, and support processes.
  • Ability to evaluate configuration, custom development, platform capabilities, and third-party products and recommend the appropriate approach.
  • Working knowledge of Agile delivery and product development lifecycle practices.
  • Ability to translate product roadmaps and business outcomes into technical strategies, architecture decisions, delivery plans, and engineering backlogs.
  • Strong technical leadership, including design reviews, engineering standards, mentoring, quality oversight, and resolution of cross-platform dependencies.
  • Ability to collaborate effectively with product managers while maintaining clear accountability: product leaders define the business outcomes and priorities; the technical lead owns how solutions are designed, built, operated, and evolved.
  • Strong communication skills and the ability to explain complex AI and architecture decisions to business and executive audiences.
  • Ability to influence Sales, Marketing, Deal Management, Data, Security, Privacy, Legal, and enterprise architecture stakeholders.
  • Strong vendor and implementation-partner management skills.
  • Ability to balance delivery speed with scalability, security, user experience, cost, and long-term maintainability.
    
    

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Why Work Here

Discover what our 29,000 employees already know: work here matters everywhere. We work hard, and smart, all in the name of getting much-needed therapies to those who need them most. A career with Syneos Health means your everyday work improves patients’ lives around the world. Selecting us as an employer secures a career in which you’re guaranteed to:

Collaborate with passionate problem solvers

Partner with the most diverse team of experts in the industry. From the top down, our people are inspiring. Everyone has a voice and is encouraged to use it.

• Work in specialized Syneos Health teams that are therapeutically or functionally aligned for expert collaboration.
• We assemble clinical teams where everyone, from CRAs to senior management, is skilled in the same therapeutic area or customer teams. With this structure, everyone on your team speaks the same language and can deliver unique insights into the therapeutic environment and patient population.
• We are partners with purpose. We integrate seamlessly with our customers and do what’s best for their success. Our people provide the brilliant ideas, valuable insights and endless energy that accelerates the impact of life changing therapies worldwide.