Cotiviti

Catches billing errors for health insurers

Technical Delivery Manager

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

At least 12 years of overall IT experience, including at least 4 years delivering AI solutions.
Proven experience in Business Process Automation or Digital Process Automation.
Technical expertise in Python; large language model architecture, including transformers, embeddings, and context windows; prompt engineering; LangChain, LangGraph, or equivalent frameworks such as LlamaIndex and CrewAI; retrieval-augmented generation and vector databases such as Pinecone, Qdrant, Chroma, pgvector, and OpenSearch; agent and tool-calling frameworks, including MCP; evaluation frameworks such as Ragas; LLMOps and tracing tools such as Langfuse and Arize; and cloud AI services such as Bedrock, Vertex, and Azure OpenAI.
Understanding of how AI technologies and generative AI can address business challenges, and ability to provide strategic direction to a team.
Experience in stakeholder management, working with cross-functional teams, and aligning automation initiatives with business goals.
Ability to collaborate to ensure automation solutions are effectively integrated into the business unit's product suite of applications.
Problem-solving, negotiation, and critical-thinking abilities.
Ability to manage multiple priorities and drive results in a fast-paced environment.

Responsibilities

Lead and manage a team focused on developing automation solutions for manual-intensive workflows.
Collaborate with Product Management and Business Operations teams to identify automation opportunities.
Oversee the design, development, and deployment of automation solutions using an AI-first strategy.
Provide technical direction by applying knowledge of AI technologies and generative AI to business challenges, and guide the team in implementing AI-driven automation.
Collaborate with application development teams to integrate automation solutions into the business unit's product suite of applications, ensuring scalability and minimal disruption.
Manage stakeholders and ensure effective communication and alignment of automation goals.
Apply critical thinking and problem-solving to address complex business challenges.
Use negotiation to balance business priorities, technical feasibility, and resource constraints.
Stay current on AI, machine learning, and automation trends to drive innovation and efficiency.
Leverage spec-driven development, an AI-native development approach, and influence business stakeholders to align with this approach.

Overview

We are looking for a Technical Delivery Manager to lead our Digital Process Automation (DPA) initiatives. This role requires close collaboration with the Product Management, Policy Operations, and Content Operations teams to drive innovative automation solutions that enhance operational efficiency, increase revenue, and reduce manual effort. The ideal candidate will also ensure seamless integration of AI solutions into the business unit's (BU) product suite of applications.

This role requires leveraging spec-driven development (an AI-native development approach) and influencing business stakeholders to align with this approach.

Responsibilities

Lead and manage a team focused on developing automation solutions for manual-intensive workflows.
Collaborate with the Product Management and Business Operations teams to identify automation opportunities.
Oversee the design, development, and deployment of automation solutions with an AI-first strategy.
Provide technical direction by leveraging a strong understanding of how AI technologies and generative AI can help solve business challenges, and guide the team in implementing AI-driven automation.
Ensure strong collaboration with application development teams to seamlessly integrate automation solutions into the BU's product suite of applications, ensuring scalability and minimal disruption.
Drive stakeholder management, ensuring effective communication and alignment of automation goals.
Apply critical thinking and problem-solving skills to address complex business challenges.
Utilize negotiation skills to balance business priorities, technical feasibility, and resource constraints.
Stay updated on the latest AI, ML, and automation trends to drive innovation and efficiency.

Qualifications

12+ years of overall IT experience, including at least 4 years delivering AI solutions.
Proven experience in Business Process Automation/Digital Process Automation.
Strong technical expertise in Python; LLM architecture (transformers, embeddings, context windows); prompt engineering; LangChain/LangGraph or equivalents (LlamaIndex, CrewAI); RAG and vector databases (Pinecone/Qdrant/Chroma/pgvector/OpenSearch); agent and tool-calling frameworks, including MCP; evaluation frameworks (Ragas); LLMOps and tracing (Langfuse/Arize); and cloud AI services (Bedrock/Vertex/Azure OpenAI).
Strong understanding of how AI technologies and generative AI can help solve business challenges, with the ability to provide strategic direction to the team.
Experience in stakeholder management, working with cross-functional teams, and aligning automation initiatives with business goals.
Strong collaboration skills to ensure automation solutions are effectively integrated into the BU's product suite of applications.
Strong problem-solving, negotiation, and critical thinking abilities.
Ability to manage multiple priorities and drive results in a fast-paced environment.

About the Company

Cotiviti

Catches billing errors for health insurers

Cotiviti sells software and review services that help US health insurers pay medical claims correctly, catch fraud, and track the quality of care their members receive. Its software for HEDIS, the care-quality scores US health plans report, has passed certification by the nonprofit NCQA every year since 2001. Insurers run claims through its coding and payment-policy checks before paying them, while its auditors review medical records and paid claims to recover overpayments. Clients pay it software fees or a share of the savings it finds. Cotiviti began in 1979 by auditing retailers' payments to suppliers, which it still does, and it is based in South Jordan, Utah, and owned by private equity firms Veritas Capital and KKR.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: South Jordan, UT
Founded: 1979

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