Technical Specialist-App Development

Birlasoft; New Jersey; Hybrid; USD 110,000 - 165,000; Full time

Job summary

Birlasoft is seeking an experienced Technical Specialist-App Development in Warren, NJ. The role combines business analysis with technical acumen to deliver AI-driven insurance solutions, spanning Underwriting and Claims.

You will lead cross-functional teams, translate requirements, and drive adoption of AI platforms with measurable business impact. The position is Hybrid — 3 days on-site in Warren, NJ, collaborating with data science, engineering, and delivery teams to prioritize backlogs and

Qualifications

• 5+ years in Product Ownership or Business Analysis.
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Responsibilities

• Own end-to-end AI product lifecycle from ideation to scaling.
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Skills

Product Ownership

Business Analysis

Agile Methodologies

Insurance Operations

AI/ML Knowledge

Stakeholder Management

Data-Driven Decisions

JIRA

Confluence

Data Pipelines

Education

Bachelor's degree in Business/Technology

MBA preferred

Tools

Visio

Lucidchart

APIs

Job description

Title: Technical Specialist-App Development

Area(s) of responsibility

Hybrid - 3 days on-site

Warren, NJ

Seeking an experienced AI Product Owner to lead the development and delivery of AI-driven solutions across key business areas, including Underwriting and Claims. This role will bridge business and technology, ensuring that AI use cases are aligned with enterprise strategy and deliver measurable business value. The ideal candidate combines strong business analysis capabilities with technical acumen and deep domain knowledge in insurance operations.

Key Responsibilities

• Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling.
• Partner with business stakeholders across Underwriting, Claims, and other functions to identify, prioritize, and define high-impact AI opportunities.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Develop and maintain product roadmaps aligned with enterprise strategic priorities.
• Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams.
• Create detailed process maps and identify opportunities for optimization through AI and automation.
• Ensure successful implementation and adoption of AI solutions, including change management and stakeholder communication.
• Monitor product performance, define KPIs, and drive continuous improvement based on insights and feedback.
• Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems.
• Support and enhance enterprise AI platforms by aligning use cases and capabilities with business needs.

Required Qualifications & Skills

• Bachelor’s degree in Business, Technology, Data Science, or a related field (MBA preferred).
• 5+ years of experience in Product Ownership, Business Analysis, or related roles.
• Strong domain knowledge of insurance operations, particularly Underwriting and Claims.
• Proven experience in implementing AI/ML or advanced analytics use cases in a business environment.
• Excellent business analysis skills, including requirements gathering, process mapping, and documentation.
• Strong understanding of Agile methodologies (Scrum, Kanban) and product management practices.
• Technical acumen with the ability to work closely with data scientists and engineers (familiarity with AI/ML concepts, data pipelines, APIs, etc.).
• Experience with tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart).
• Strong analytical thinking and problem-solving skills.
• Excellent communication and stakeholder management skills, with the ability to influence across all levels of the organization.

Preferred Qualifications

• Experience working with enterprise AI platforms or copilots (e.g., similar tools).
• Familiarity with data governance, model risk management, and regulatory considerations in insurance.
• Experience driving digital transformation initiatives in the insurance industry.

Why Join?

• Opportunity to lead cutting-edge AI initiatives in a global insurance organization.
• Work on high-impact use cases that transform Underwriting, Claims, and core operations.
• Collaborate with cross-functional teams to shape the future of AI.