Senior Vice President of Product Engineering

Job Overview

Looking for a Senior VP of Product Engineering who can play a critical role by leading multiple engineering teams, shaping the technical direction and execution of a suite of innovative products/platforms designed around Analytics & Insights for Biopharma companies to be commercially successful. Requires a strategic thinker and technical leader who can effectively collaborate with stakeholders, align technical strategies with business goals, and drive the development of cutting-edge analytics capabilities.

The successful candidate will be responsible for overseeing and managing the engineering efforts for various products & platforms. This role requires deep expertise in both software engineering and the pharma commercial analytics landscape, with a focus on leveraging data to drive insights.

The successful candidate will report to the CTO, working closely with cross-functional teams, including offshore development partners, to ensure delivery of high-quality, scalable, and compliant solutions. This role demands a proactive approach to innovation and problem-solving, with the ability to adapt to the rapidly evolving technological and regulatory environment of the pharmaceutical industry.

Designation
: VP, Product Engineering

Job Location
:
Waltham, MA, USA

Type of employment
:
Permanent

• Leadership & Strategy
  :
  Serve as the engineering lead for the Insights Platform, setting the technical vision and strategy. Collaborate with multiple stakeholders to translate business requirements into technical specifications and product features. Foster a culture of innovation, continuous improvement, and technical excellence within the engineering team.
• Platform Development
  :
  Oversee the design & development of various platform modules. Ensure seamless integration and execution across various insights and customer engagement products.
• Team Management
  :
  Lead and mentor a diverse engineering team, including offshore development partners, to deliver high-quality software solutions. Manage resource allocation, project timelines, and deliverables to meet business objectives and client expectations.
• Technical Expertise
  :
  Data Architecture and Management;
  Technology Stack Evaluation; API Development and Integration;
  Multi-tenant and SaaS Architecture;
  Security and Data Privacy;
  Performance Optimization;
  Technical Documentation.
• Collaboration & Communication
  :
  Work closely with cross-functional teams, including Product Management, Data Science, and Marketing, to ensure alignment and successful product delivery. Communicate effectively with stakeholders to report on project status, risks, and opportunities.
• Quality & Compliance
  :
  Implement best practices in software development, quality assurance, and regulatory compliance specific to the pharmaceutical industry. Establish and monitor metrics to ensure platform reliability and user satisfaction.
• Feedback & Improvement
  :
  Develop a robust feedback loop to incorporate user insights and data analytics for continuous improvement of recommendation models.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 15+ years of experience in software engineering, especially in web application development and its relevant technologies, with a focus on product development and analytics platforms.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proven leadership experience in managing engineering teams, preferably in a global or offshore setting.
• Strong understanding of pharmaceutical commercial analytics and customer engagement strategies.
• Experience with pharmaceutical data sources such as prescription data, sales data, engagement data, electronic health records (EHRs), and claims data. Ability to leverage these data sets to generate insights and business outcomes.
• Excellent communication and interpersonal skills, with a track record of successful stakeholder engagement.
• Knowledge of regulatory requirements and compliance in the pharma industry is a plus.

• Familiarity with Agile and Dev Ops practices.
• Background in data science or machine learning, with hands-on experience in…