Analytics Pre-Sales / Solution Architect - Banking and Financial Services
Location: Remote (with ability to travel to client locations as needed)
Our client is a leader in providing Fortune 500 companies with innovative business process management, data-driven insights, automation and advanced analytics. Their customizable services and solutions optimize the way companies conduct business by streamlining processes and improving business performance. Over the past few years, they have continued to focus on delivering top quality analytics services and growing their analytics footprint within existing and prospective clients in the Banking & Financial Services domain. This Solution Architect role on their ABU’s (Analytics Business Unit) pre-sales leadership team is a unique opportunity to help catalyze this growth. This is a role that empowers you to work across diverse problem statements, mentor a team of deeply passionate data experts, have direct access to C-level leaders and their priorities, and have a measurable impact on growth and value-creation for the company.
As a lead in the ABU Consulting team for Banking and FS, you will play a crucial role in communicating the value our client’s solutions and services will drive for their customers. You will collaborate with members of their sales and account management teams to discover how their customers could extract more value from their data assets across organizations.
The ideal candidate is self-motivated, and will have previous work experience in the analytics, big data and/or consulting services industry. They will be able to lead by example in taking a consultative approach to discover unarticulated analytical needs of their customers, as well as connecting the dots between customer requirements to their solution, service and consulting offerings.
Responsibilities:
Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs.
Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients.
Contribute to pipeline and revenue generation through participating in, and at times, managing demand gen activities like webinars, seminars, workshops, conferences and other company events.
Create best-in-class presentations and present to senior executives (C-level, VP, Directors) to effectively articulate value proposition. Lead the development and delivery of these technical presentations, demonstrations, proposals and reviews.
Spearhead RFP responses. Drive all aspects of successful pilot projects and Proofs of Concepts, from requirements to solution design to delivery and implementation.
Partner with client engagement managers, sales teams, analytics centers of excellence and other solutions consultants to move deals to close.
Communicate business requirements and context to the offshore delivery team after closing a deal to ensure a smooth transition from presales to implementation.
Maintain a deep understanding of industry trends and how those trends are reflected in our solution approach.
Collaborate with the company’s Centre of Excellence for Analytics & AI/ML to create data tools for analytics and data sciences
Qualifications:
8+ years' experience at a management consulting company, analytics / technology company or in-house in either a solution delivery or pre-sales role.
5+ years of experience with business focused analytics in the Banking & Financial Services industry is a must. Required experience in wealth management analytics, trading, risk analytics, sales analytics, digital analytics, regulatory reporting, AML & Fraud analytics or other related analytics and statistical modeling experience in the banking domain.
3+ years of experience in a pre-sales role for analytics is a plus.
Hands-on experience in handling large datasets using data and cloud technologies like SQL / SAS/ R / Python / AWS / Azure etc. is a plus.
Experience in using a variety of analytical techniques like different types of regression, decision trees, deep learning etc. is a plus.
Experience with BI platforms like Qlik, Tableau, PowerBI or Dataiku is a plus.
Excellent communication skills with the ability to instill confidence in potential and existing customers. Strong presentation skills with the ability to connect seamlessly with both business and technical audiences.
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