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Vice President

4 months ago


GurgaonGurugram, India HuQuo Full time

The Vice President of Analytics Solution Engineering will be a pivotal figure within the organization, driving the design, implementation, and optimization of advanced analytics solutions, with a strong focus on technical innovation. This role also involves the creation and management of solution engineering teams, ensuring successful delivery in our banking domain.

We are hiring a Senior Data Solution Architect, who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands. Apply now to connect with a recruiter about this influential role at EPAM

Responsibilities:

1. Strategic Leadership:- Define and execute the analytics engineering strategy, focusing on technological advancements and alignment with organizational objectives.

2. Solution Development:- Lead the creation and deployment of cutting-edge analytics solutions, incorporating generative AI, big data analytics, machine learning algorithms, data warehousing, and cloud computing.

3. Team Creation and Management:- Build, mentor, and oversee a high-performing engineering team spread across the US and India, instilling a culture of innovation, collaboration, and continuous improvement.

4. Technical Guidance:- Provide technical direction and support, ensuring the use of best practices, state-of-the-art technologies, and robust architectures.

5. Client Engagement:- Collaborate with key clients in the banking space to develop tailored solutions, ensuring alignment with business needs and technical requirements.

6. Cross-functional Collaboration:- Facilitate seamless integration and alignment of analytics solutions with other business units and technology teams.

7. Compliance and Risk Management:- Monitor adherence to industry standards, regulations, and security protocols, ensuring data integrity and quality assurance.

8. Scalability and Resilience: Designing scalable and resilient architectures that can handle large volumes of data, accommodate future expansion requirements and/or generate the output within required SLA's.

9. Innovation and Research:- Drive research initiatives, staying abreast of emerging technologies and industry trends to maintain a competitive edge.

Qualifications:

- 12+ years of experience in analytics engineering, with a strong focus on banking or financial services.

- Expertise in various programming languages, data platforms, and analytics tools (such as Python, SQL, Hadoop, Spark, Tableau).

- Proven experience in team creation, leadership, and development.

- Deep understanding of generative AI, machine learning models, cloud infrastructures, and DevOps practices.

- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Education Background:

- Bachelor's or master's degree in computer science, Engineering, Mathematics or a related field.

- Tier I/II candidates preferred.

Folks with shorter notice period to be preferred.

(ref:hirist.tech)