Deployment Strategist

Job description

Direct message the job poster from Intellect Design Arena Ltd
About Us:
Intellect Design Arena Ltd is a global leader in enterprise‐grade financial technology, delivering composable and intelligent solutions to forward‐looking financial institutions across 61 countries.

With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce.

Applying First Principles Thinking and Design Thinking, we have elementalised the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.


At the heart of this are eMACH.ai, the world’s most comprehensive, composable and intelligent open finance platform; Purple Fabric, the world’s first Open Business Impact AI platform; and iTurmeric, our composable platform for seamless integration and configuration.

We are a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world’s first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever‐growing need for digital transformation.

We proudly serve over 500+ customers worldwide, supported by a diverse workforce of solution architects, and domain and technology experts in major global financial hubs.


For more information, visit
Role Overview:
As a
Deployment Strategist , you will collaborate with a dynamic team of Engineers, Data Scientists, Product Designers, and other Strategic Solutions Advisors to implement our Gen AI platform solutions to solve our clients' most complex challenges.

Your mission is to transform diverse data insights, user needs, and business objectives into cohesive strategies that deliver impactful solutions.

You'll play a pivotal role in defining how our platform integrates into clients' operations, driving user adoption, and ensuring the platform delivers significant value.


Key Responsibilities:
Client Engagement:
Meet with client teams, including analysts, decision‐makers, and end‐users, to understand their most pressing problems, workflows, and objectives.


Problem Solving:
Analyze and synthesize client needs, identify key data sources, and collaborate with technical teams to develop tailored solutions that address critical issues.


Data Integration:
Work with Data Engineers to integrate client data into our platform, ensuring a stable, extensible, and scalable pipeline that meets client requirements.


Workflow Development:
Partner with clients to design bespoke workflows and AI‐driven solutions that enhance their operations and decision‐making processes.


User Training and Support:
Lead training sessions and workshops to empower clients with the knowledge to leverage our platform effectively, fostering user adoption and long‐term impact.


Product Feedback Loop:
Collaborate closely with our Product and Engineering teams, sharing insights and feedback from client engagements to shape future product enhancements.


Stakeholder Communication:
Present insights, project outcomes, and future work proposals to diverse audiences, from operational analysts to C‐suite executives.


Demonstrations and Proposals:
Develop and deliver compelling demonstrations of our Gen AI platform to new and existing clients, showcasing the value of our technology.


Market Expansion:
Assist in scoping new engagement opportunities across industries and geographic regions, exploring how our solutions can address emerging client needs.


Problem Solvers:
We seek individuals who are relentless in their pursuit of understanding and solving complex, open‐ended problems.


Curiosity and Adaptability:
You thrive in fast‐paced, unstructured environments and are eager to learn, teach, and lead by example.


User Empathy:
A deep understanding of user needs and the ability to translate those into actionable product improvements and strategic recommendations.


Technical Acumen:
Familiarity with programming, scripting, or statistical tools (e.g., Python, SQL, R) is beneficial but not required; a strong analytical mindset is a must.


Collaboration and Communication:
Exceptional communication skills to work effectively with cross‐functional teams and external stakeholders at all levels.


Requirements:
Educational Background:
Bachelor's degree in a relevant field (e.g., Engineering, Computer Science, Data Science, Business, or related disciplines).


Experience:
Prior experience in consulting, product implementation, data analysis, or a similar role involving direct client engagement and problem‐solving.


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