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Blue Matter

Technology Manager / Associate Principal

Reposted 14 Days Ago
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Remote
Hiring Remotely in United States
100K-280K Annually
Expert/Leader
Remote
Hiring Remotely in United States
100K-280K Annually
Expert/Leader
The Technology Manager will lead technology and operations projects, focusing on AI solutions, client engagement, and team leadership within the biopharmaceutical sector.
The summary above was generated by AI
Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations.
Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine™— an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio.
We are seeking an entrepreneurial Technology Manager / Associate Principal to develop our Technology & Operations practice with new clients, primarily on the East Coast. This leader will bridge strategy and technology, driving innovation and execution across data and AI programs that transform client operations.
The role is both strategic and hands-on. You will oversee project delivery, build regional client relationships, mentor delivery teams, and provide technical leadership — while also contributing to the architecture and product evolution of Twine.
Primary Responsibilities
1. Delivery & Team Leadership (40%)
  • Lead end-to-end delivery of complex technology engagements— including data engineering, AI/ML, and analytics — ensuring excellence across scope, timelines, and budget.
  • Serve as the technical and delivery owner for multi-disciplinary projects involving data engineering, AI, and analytics.
  • Build and mentor a high-performing East Coast technology team, coordinate delivery across onshore and offshore resources.
  • Provide hands-on leadership in solution design, architecture, modeling, and deployment.
  • Establish delivery governance, quality standards, and a culture of accountability, innovation, and technical excellence.
2. Client Engagement & Business Development (30%)
  • Serve as a strategic advisor to senior life sciences stakeholders, translating complex business problems into platform-enabled technology solutions.
  • Develop and expand East Coast client relationships, driving account growth, cross-sell of Twine-powered offerings, and new logo acquisition.
  • Drive the enhancement, scalability, and go-to-market of Twine, including product roadmap contributions, platform monetization strategy, and SaaS delivery readiness.
  • Lead proposal development, capability presentations, and account growth efforts.
3. Technology & Innovation (30%)
  • Architect and implement modern data warehouses, data lakes, and analytics platforms on AWS, Azure, or GCP using tools such as Databricks, Snowflake, and Spark.
  • Design and deploy AI-powered solutions including GenAI applications, LLM-based workflows RAG pipelines grounded in proprietary data with vector databases and agentic AI architecture for commercial and operational use cases.
  • Develop enterprise-grade APIs, data pipelines, and decision automation layers that integrate with Twine’s platform ecosystem.
  • Establish AI safety, governance, and observability practices for production AI systems.
  • Evaluate and integrate emerging AI frameworks and feed emerging capabilities into the ongoing Twine product roadmap.
Qualifications
  • Master’s degree in engineering, Computer Science, Information Technology, or related field.
  • 12+ years of experience in technology consulting, life sciences analytics, or enterprise data architecture with proven track record leading and delivering large-scale data and AI initiatives in cloud environments (AWS, Azure, GCP).
  • Demonstrated experience with AI/ML solution design, including LLMs, GenAI pipelines, RAG architectures with vector databases, agentic AI orchestration (CrewAI, AutoGen, LangGraph), and frameworks such as LangChain, LlamaIndex, or similar.
  • Deep understanding of life sciences datasets (Sales, claims, CRM, marketing).
  • Executive presence with effective communication and client advisory skills.
  • Experience building or scaling technology-enabled platforms strongly preferred.
  • Prefer candidates on the East Coast or SF Bay Area
Preferred Skills
  • Experience with governance and compliance frameworks (HIPAA, GDPR, GxP).
  • Prior experience in biopharma digital transformation, or omnichannel orchestration; active engagement with the AI community (open-source, publications, conferences).
  • Expertise in API architecture, MCP (Model Context Protocol), tool-use architecture, AI agent orchestration, or multi-agent system design.
  • Prior involvement in platform product development or GTM strategy.
Compensation & Benefits
Base salary range: $200,000 – $280,000 per year. Generous incentive compensation structure.
Benefits:
  • 401k Plan - generous employer match with immediate vesting and financial planning resources
  • Comprehensive medical, dental and vision coverage options effective day 1 of employment
  • Flexible spending account (FSA) or Health Savings Account (HSA)
  • Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options
  • Paid parental leave for all new parents
  • Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually)
  • Employee Assistance Program
  • Generous paid time off including vacation, sick days, floating and company holidays
Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law.
 

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