Data Scientist Lead - Gen AI/Network Services

SoftServe; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

SoftServe is seeking a Data Scientist Lead - Gen AI for Network Services in New York. The role drives responsible AI adoption across Network Services, aligning AI opportunities with business value and governance.

You will coordinate across infrastructure teams, business stakeholders, and central AI teams to prevail measurable outcomes. The position emphasizes AI demand intake, prioritization, and governance, with a focus on deploying enterprise AI platforms and achieving value realization across

Qualifications

• Strong experience in AI-enabled transformation, product delivery, or enterprise change leadership.
• Experience delivering AI or data-driven solutions from idea to implementation and adoption.
• Experience with Agentic AI solutions, preferably for infrastructure or operations teams.
• Good understanding of AI agents, LLMs, MCP, MLOps, and data / platform architecture.
• Background in network infrastructure, network operations, or enterprise infrastructure environments.
• Experience working in large, matrixed organizations with multiple stakeholders.
• Understanding of governance, risk, compliance, and control requirements.

Responsibilities

• Lead AI demand intake and prioritization across Network Services.
• Assess AI use cases based on business value, feasibility, data readiness, and risk.
• Coordinate delivery of AI capabilities across business, technology, and central AI teams.
• Ensure AI governance, compliance, and risk processes are followed.
• Support adoption of enterprise AI platforms, tools, and reusable patterns.
• Track success metrics, adoption, value, risks, and delivery progress.
• Maintain visibility of the AI portfolio, including use cases, owners, dependencies, and status.
• Support AI capability building within infrastructure and network teams.
• Help drive continuous improvement of AI solutions based on feedback and outcomes.
• Provide support for AI solutions in production together with SMEs.

Skills

AI transformation

Change leadership

Data-driven

Agentic AI

LLMs

MLOps

Data architecture

Network infra

Stakeholder mgmt

Job description

We are looking for a Data Scientist Lead - Gen AI - Network Services for a large global financial services organization.

The role is focused on driving responsible AI adoption across Network Services, including AI use case intake, prioritization, delivery coordination, governance, and value realization. The person will work closely with infrastructure teams, business stakeholders, and central AI teams to identify AI opportunities, support execution, and ensure measurable business outcomes.

Responsibilities

• Lead AI demand intake and prioritization across Network Services
• Assess AI use cases based on business value, feasibility, data readiness, and risk
• Coordinate delivery of AI capabilities across business, technology, and central AI teams
• Ensure AI governance, compliance, and risk processes are followed
• Support adoption of approved enterprise AI platforms, tools, and reusable patterns
• Track success metrics, adoption, value, risks, and delivery progress
• Maintain visibility of the AI portfolio, including use cases, owners, dependencies, and status
• Support AI capability building within infrastructure and network teams
• Help drive continuous improvement of AI solutions based on feedback and outcomes
• Provide support for AI solutions in production together with SMEs

Requirements

• Strong experience in AI-enabled transformation, product delivery, or enterprise change leadership
• Experience delivering AI or data-driven solutions from idea to implementation and adoption
• Experience with Agentic AI solutions, preferably for infrastructure or operations teams
• Good understanding of AI agents, LLMs, MCP, MLOps, and data / platform architecture
• Background in network infrastructure, network operations, or enterprise infrastructure environments
• Experience working in large, matrixed organizations with multiple stakeholders
• Understanding of governance, risk, compliance, and control requirements