Details:

Position of Engineering Project Manager for AI/Analytics Engineering will be expected to lead and manage the technology projects across multiple client AI/BigData engagements. This will include developing deep client relationships, and managing a team of technology professionals to deliver insights at scale to our clients. The Engineering Project Manager will be expected to build a strong personal & Fractal brand.

Experience

10+ years of consulting and implementation experience in designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Min. Qualification:

• Preferably M.S./M.Tech. degree in Computer Science or related field
• Knowledge of variety and advanced architecture, tools and concepts across all layers of the modern distributed technology stack (Hadoop, Spark, Kafka, Cassandra, MongoDB and similar)
• Knowledge and experience in cloud architectures and cloud tools (Azure/GCP/AWS)
• Knowledge and experience of deploying and maintaining large scale advanced systems in production environments
• Ability to independently manage client 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.

Skills Required:

Hadoop, Spark, Kafka, MongoDB, Azure/GCP/AWS

Roles:

Execution Excellence

• Drive excellent project management required to deliver complex projects, including effort/time estimation, building detailed WBS, managing critical path, and using PM tools and platforms
• Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
• Define Technology/BigData strategy and roadmap for client accounts, and guides implementation of that strategy within projects
• Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
• Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
• Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.

Technical Expertise

• Define the end to end solution architecture for large scale technology projects
• Deep technical expertise in distributed processing, real-time and scalable systems
• Deep expertise in building large scalable production systems
• Solve business problems using technology; apply first principles to bring technology solutions for business problems

Executive Presence

• Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
• Communicate with impact – presents point of view clearly, is prescriptive in recommendations & defends points of view with the right set of reasons

People Leadership

• Build high performing and collaborative teams – Has clear followership and actively owns the team’s career growth & performance.
• Define and mentor technology roles needed across client teams and within larger organization

Business Acumen

• Build business case for technological investments to be made for future needs and to remain competitive
• Ensure that billing and utilization of team members is maximized throughout the year