North America - Insurance - Sr. Solution Architect, Data Engineering

 

Sr. Solution Architect - Data Engineering

Alpha Financial Markets Consulting (Alpha FMC) group, the leading global consultancy to the Insurance and InsurTech industries. We are a boutique management consulting firm that offers the world’s best Insurance and Financial Services groups a competitive edge through our expertise and industry insight. Our global Insurance Division is of a uniquely high calibre and by focusing on Insurance alone we build deep knowledge and experience within our industry. Alpha Insurance Technology Services represents the technology implementation / business integration arm of the Insurance Division, with deep expertise in delivering change and transformation programs centered around Insurance technology solutions.

To clients, we are a trusted partner for creating programs, however, we are so much more to our employees. At Alpha, we pride ourselves in being a meritocratic environment perfect for building a career, meeting great people, as well as a rewarding place to work.

Alpha Insurance Technology Services

As technology specialists, Alpha Insurance Technology Services:

• Provide knowledgeable resources who can implement, configure and support the major platforms used by our clients.
• Form a range of partnerships with key vendors to position itself as a preferred implementation partner for major business applications.
• Assist clients with their journey to the next generation of cloud-based architectures.
• Help clients to define and implement their future state data architectures.
• Help clients with bespoke development that complements their core application architecture.
• Provide knowledgeable and client-focussed support for client’s major applications, including upgrades, migrations and business-as-usual issue management.

Responsibilities

• Define and lead delivery of data platforms, end-to-end pipelines and system integrations, managing an implementation team of experienced developers and technical consultants.
• Support in the definition and implementation of best practice data engineering and governance practices.
• Translate business and technical requirements into solution designs, including definition of required work packages and resourcing.
• Support our clients in improving and optimizing their operating models, including resource management, technology architecture and business process.
• Use your knowledge of the vendor and tool landscape, both within our client’s technology stacks and the broader market to design appropriate solutions.
• Define and socialize technical approaches for implementation, eg SDLC, data migration, integrations, influencing client teams to your best practice perspective.
• Input to project definition, resourcing and timelines and objectives within a workstream or project.
• Drive the documentation and development according to specifications and standards.
• Present options and designs to business and technology stakeholders, articulating Alpha’s IP in business process design and technical delivery to clients at all levels.
• Participate in project team meetings and communicate effectively with internal and client peers, architects, system analysts, business analysts, project managers, quality control, and across other technology team boundaries, reporting project status as required.
• Support Alpha’s internal IP with proposition and accelerator development, including at least one area of specific expertise
• Take a lead in mentoring and coaching team members.

Requirements 

• A Bachelors’ degree in a related field and at least 5 years of experience in data engineering/architecture,  including experience with transformational efforts; as well as some experience in the Insurance industry, especially P&C Insurance.
• Experience managing data engineering projects using Agile or other methodologies.
• Ability to lead cross-functional teams and manage stakeholder expectations.
• Ability to design scalable and reliable data architectures.
• Understanding of data lifecycle management and data quality frameworks.
• Experience leading complex data modeling