Assistant Vice President, Solutions Architect & Automation Lead

Inviting applications for the role of Assistant Vice President, Solutions Architect & Automation Lead

In this role, the incumbent will spearhead a team of engineers focused on creating advanced Automation and AI solutions for back-office finance and accounting operations in Life Science and healthcare sectors. This role requires a blend of architectural prowess, knowledge of automation tools, machine learning expertise, and business acumen to guide a multidisciplinary team in designing and implementing innovative products that enhance our client%27s operational efficiencies and decision-making processes.

Responsibilities

Leadership and Project Oversight :

Lead and build a team of backend, frontend, UI / UX, automation and machine learning engineers.

Oversee the design, development, and deployment of Automation and AI-driven solutions and ensure alignment with client%27s business needs.

Foster a culture of innovation and continuous improvement within the team.

Solution Architecture :

Develop comprehensive solution architectures integrating Automation, AI and machine learning technologies.

Collaborate with business stakeholders to translate complex requirements into technical solutions.

Client Engagement :

Act as a key technical liaison between you team and clients, ensuring clear communication and alignment on project goals and deliverables.

Contribute to proposal writing and business development efforts by providing technical expertise.

Research and Development :

Stay abreast of the latest developments in Automation, AI, machine learning technologies, and industry trends.

Lead initiatives to explore new technologies and methodologies that could benefit the hub%27s strategic goals.

Qualifications we seek in you!

Minimum Qualifications / Skills

Bachelor's degree in computer science, Data Science, Artificial Intelligence, or a related field.

Experience in a technical leadership role involving solution architecture and data science.

Familiarity with cloud architectures and services (AWS, Azure, Google Cloud)

Experience on GenAI, Prompt Engineering, Copilot Studio, Power Apps, RPA, Python, VBA

Proven track record of designing and implementing scalable and robust back-end systems.

Strong proficiency in machine learning, statistical modelling, and data mining.

Excellent problem-solving, analytical, and technical skills.

Demonstrated experience in managing and leading technical teams.