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Sr. Tech Lead

3 months ago

Jersey City, United States Zortech Solutions Full time
Job DescriptionJob Description

Role: Sr. Tech Lead / Insurance Analytics Lead

Location: Hybrid (NYC/NJ)

Duration: Fulltime/C2C

Job Description:

Experience Level: 8 to 15

Must Have:

Analytics experience with competitor analysis, Adhoc data analysis, Python, R/SAS, SQL, Visualization, PowerBI/Tableau, leadership ability, excellent communication, pricing/product analysis

Role & Responsibilities Overview:

Insurance data and analytics domain expert who can provide strategical and tactical advisory services on data solutions and consult with the senior business leaders.

Experience leading analytics solution delivery for various insurance carrier

Experience in designing data/analytics (including BI, predictive model and data solutions) across insurance business functions like Claims, Distribution, Product, Marketing, Finance etc.

Understands insurance regulatory environment and market across insurance products.

Strong hold in prominent tools like SQL/SAS/Python /PBI/Tableau or cloud technologies like AWS/Azure/GCP etc.

Conduct sessions to understand the clients' needs utilizing standard and innovative consulting skills to deliver an optimal recommendation.

Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it.

Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth.

  • Develop business proposals, facilitate client working sessions, team up with technology professions and/or third-party strategic alliances to conduct solutioning exercises based on clients' needs.
  • Participate and own various new RFPs, work with various SMEs to research and develop technical/business case studies,

Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues.

Provide technical direction/support to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain

Proactively manage diverse teams and their expectations including career progression, skill development or other people management aspects

Ensure Industry best practices are followed, Communicate and follow up with delivery team.

Key Skillsets -

Experienced in execution of delivery of a range data management, analytics, artificial intelligence consulting and delivery engagements.

  • Demonstrated experience in building relationship with executive level clients in Insurance industry
  • Support the engagement with expertise in deploying data solutions on Cloud/On-premise, advanced analytics, and business intelligence solutions.
  • Establish environment of learning and development to continuously strengthen delivery proposition for various analytics setups.
  • Establish industry standard framework for absorbing latest development in the industry.
  • Perform research and provide solutioning for various business needs from clients across insurance value chain.

Candidate Profile:

Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.

7+ years with significant experience across Insurance business functions and processes (among Claims, Distribution, Marketing, Products & UW, Finance etc.)

Strong hold in delivering analytics solutions including data engineering/models, reporting/dashboarding, predictive modeling, operationalization of models, monitoring, business strategy support across insurance functions

Good grasp in conducting business workshops, architecting solutions, benchmarking industry solutions and recommending best-in class approach for solution delivery

Proven expertise in delivering solutions leveraging data tools like SQL/SAS/Snowflake, AWS/Azure/GCP, Python/R, PowerBI/Tableau etc.

Strong interfacing experience with different type of stakeholders including business, technology, analysts/engineers and leading multi-stakeholder based engagements.

Provide insurance industry best practices, thought leadership and enable an environment of continuous development, innovation

Experience in working in dual shore engagement and must have experience in managing large programs Insurance Analytics CoE and multiple clients directly.

Competitor analysis, Ad-hoc data analysis and application of First principles thinking approach to solve business problems.

Strong grasp of the latest tools within the market.

Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

Outstanding written and verbal communication skills

Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.