Other
Salary: $Depends on Experience per Year
Job Type: Full time
Experience: Senior Level
Spiceorb
Banking Analytics Sme (Remote)
Banking Analytics Sme | Spiceorb | Worldwide
Banking Analytics SME
Location: Remote
Visa: PR in the US or Canada
...Banking Analytics Sme | Spiceorb | Worldwide
Banking Analytics SME
Location: Remote
Visa: PR in the US or Canada
Roles & responsibilities:
- Actively participate and contribute to building new Business solution offerings leveraging AI, for Banking industry serviced by Hexaware in the marketplace.
- Lead the analytics solution design and architecture for all the fixed engagement proposals (i.e.solution driven deals). Coordinate with various Hexaware teams in bringing together a
- differentiated and competitive solution design for Banking client’s problem statement.
- Have a consultative mindset to problem solving with customers.
- Proactively explore application of Gen AI in business solutions and develop prototypes/ PoCs to take to the market.
- Be ready to lead strategic/ transformative Analytics/ Data science engagements for Hexaware’s key Banking accounts, in a billable capacity (either full or part-time billing).
- Be the face of Hexaware at the Banking client organization when in a billable engagement and develop strategic advisor relationships with business/ functional stakeholders.
- Stay in-tune with evolving new technologies and proactively obtain certifications where relevant.
- Work collaboratively in developing new go-to-market solutions for Hexaware’s partnerships (MS, AWS, Snowflake, Databricks etc.)
- Mentor and train junior analytics resources on AI capabilities, strengthen Hexaware’s domain knowledge of Banking LoBs and functions.
- Contribute to the building of Analytics, AI and Business Solutions practice in the Data & AI service line.
Minimum qualifications:
- 10+ years of relevant and hands-on experience in the field of analytics and data science applied in the Banking Industry domain. (either experience of working in a bank or working with Banking industry clients)
- Must have experience in building and delivering analytics solutions for business/ functional stakeholders in a Bank.
- Experience in specific areas of business analytics such as marketing, digital, customer experience, Banking operations, Finance etc. is a plus.
- ML Ops experience will be a big plus.
- An understanding of emerging areas like application of Gen AI, will be a huge plus.
- If from a consulting/ service background, the candidate must have experience in client facing engagements. Experience working directly with business & functional stakeholders in the
- Banking org.
- Additional industry experience is welcome (e.g. Insurance, Healthcare, Life Sciences etc.)
- Team leading experience would be preferred.
- Knowledge of/ experience working with the legacy/ market leading cloud and Data platforms (MS/ AWS/ Google Cloud Platform/ Snowflake/ Databricks).
- Graduate degree in engineering/ technology/ analytics/ Business administration or similar disciplines.
- With a valid work visa / PR in the US or Canada.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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