Fractal Analytics - Principal Architect - AI Analytics Technology

Summary :

- Position of Principal Architect for AI/Analytics Technology will be expected to lead the technology projects across multiple client AI/Analytics engagements.

- This will include developing deep client relationships and leading a team of technology professionals to deliver insights at scale to our clients. The Principal Architect will be expected to build a strong personal & Fractal brand.

Responsibilities :

Technical Expertise :

a. Define the end to end solution architecture for large scale technology projects

b. Solve business problems using technology; apply first principles to bring technology solutions for business problems

Execution Excellence :

a. Drive excellent project management required to deliver high quality outcomes at scale

b. Set up sophisticated & scalable client engagement level processes for faster turnaround & higher accuracy

c. Define IT strategy and roadmap for client accounts, and guides implementation of that strategy within projects

Executive Presence :

a. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.

b. Communicate with impact - presents point of view clearly, is prescriptive in recommendations & defends points of view with the right set of reasons

People Leadership :

a. Build high performing and collaborative teams - Has clear followership and actively owns the team's career growth & performance.

b. Define and mentor technology roles needed across client teams and within larger organization

Business Acumen :

a. Build business case for technological investments to be made for future needs and to remain competitive

b. Ensure that billing and utilization of team members is maximized throughout the year

Skills & Qualifications :

- A bachelor's degree in Computer Science or related field with more than 15 years of technology consulting and implementation experience

- Preferably an MBA or MS/M.Tech. degree in Computer Science or related field

- Knowledge of variety and advanced tools and concepts across all layers of the technology stack

- Ability to independently manage research engagements from start to finish, delivering actionable insight within established timelines and budget.

- Demonstrated ability in driving business impact through the application of technology and data science. Understanding and leveraging the connection between data structures, analytical methods, and business applications.

- Experience working in a consultative capacity (internal or external) and across the sales-to-project closure process.

- Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required.

- Strong organizational awareness and the ability to work effectively at multiple levels within an organization. Equally comfortable in discussing technical/analytical details with technical thought leaders as explaining technical subject matter with a non-technical audience, in particular, high-level executives.

- Outstanding verbal and written communication skills & must have excellent project management skills and have experience managing multiple work streams and projects at one time.

- Building and, when necessary, rebuilding and leading high performance teams. Proven track record of identifying and developing technology talent and leading a team of high-performance personnel.