Engagement Delivery Lead Data Analytics (Hybrid), Las Vegas, Nevada, United States

Role Summary

The Associate Director – Data Engineering is a senior leadership role responsible for acting as the Delivery Leader across a portfolio of client accounts, ensuring consistent, high-quality program delivery through strong collaboration with offshore leads and teams. In parallel, this role owns the P&L for the account portfolio and drives proposal development and opportunity conversion, translating sales pipeline into executable, well-scoped delivery engagements.

This is a dual-mandate role: delivery excellence is the first and non-negotiable priority, while P&L ownership and business development (proposals/opportunity conversion) is the secondary priority, to be managed without compromising delivery commitments.

Roles & Responsibilities

1. Delivery Leadership

Serve as the primary delivery owner and escalation point for all in-flight programs within the assigned account portfolio.
Partner with offshore leads/managers to plan sprints/releases, allocate resources, and track execution against milestones.
Drive daily/weekly delivery governance cadences (stand-ups, steering committees, status reviews) with onshore and offshore teams.
Proactively identify delivery risks (technical debt, resourcing gaps, scope creep, attrition) and drive mitigation plans.
Ensure adherence to engineering best practices, data quality standards, architecture guidelines, and DevOps/DataOps processes across teams.
Own client relationship management at the program level — building trust, managing expectations, and ensuring high CSAT (Client Satisfaction) scores.
Conduct periodic program health checks and quality audits across accounts.
Mentor and develop offshore leads and technical managers to strengthen delivery capability and reduce dependency on escalations.
Ensure knowledge continuity and succession planning within delivery teams.
Manage cross-functional dependencies (infrastructure, security, data governance, QA) required for successful delivery.

2. P&L Ownership

Own and manage the P&L for the assigned set of accounts, including revenue recognition, cost management, and margin improvement.
Track utilization, billability, and pyramid health of the delivery teams; drive corrective actions where needed.
Forecast resourcing and financial requirements in line with account growth plans.
Identify cost optimization opportunities (offshore-onshore mix, automation, tooling) without compromising delivery quality.
Report account financial performance to leadership on a periodic basis.

3. Proposals & Opportunity Conversion

Partner with sales, account management, and pre-sales teams to identify and shape new opportunities within existing and prospective accounts.
Lead or contribute to solutioning, effort estimation, staffing plans, and commercial proposals for new deals or account expansions (RFP/RFI responses, SOWs).
Ensure proposed solutions are technically sound, deliverable, and aligned with realistic timelines and offshore delivery capability.
Support due diligence, client presentations, and negotiations during the opportunity-to-contract transition.
Ensure a smooth handover from the proposal/sales stage to the delivery team, including transfer of context, assumptions, and commitments made.

4. Stakeholder & Team Management

Act as the bridge between onshore leadership/clients and offshore delivery teams, ensuring alignment of priorities and expectations.
Build and maintain strong working relationships with client stakeholders, sponsors, and internal cross-functional leaders.
Drive a culture of ownership, accountability, and continuous improvement within offshore and onshore teams.
Support hiring, onboarding, and capability-building initiatives for the account's delivery teams.

Required Skills & Experience

16+ years of overall experience in Data Engineering / Data Platform delivery / AIML, Databricks with at least 3–5 years in a delivery leadership or account management role.
Proven experience managing multi-account or multi-program portfolios with distributed (onshore-offshore) delivery models.
Strong technical grounding in data engineering concepts — data pipelines, ETL/ELT, data warehousing, cloud data platforms (AWS/Azure/GCP), big data ecosystems (Spark, Kafka, etc.), and modern data architecture (Lakehouse, Data Mesh).
Demonstrated experience owning P&L for accounts/programs, including revenue, margin, and utilization management.
Experience in proposal writing, solutioning, and effort estimation for RFP/RFI responses.
Strong stakeholder management skills — ability to engage confidently with client leadership, sponsors, and internal executives.
Excellent people leadership skills, with experience managing and mentoring offshore leads/managers.
Strong communication, negotiation, and executive presentation skills.
Bachelor's/master’s degree in computer science, Engineering, or related field

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until Aug 97, 2026,

The annual salary for this position is between $ 90,000 - $ 180,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.

Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.

Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.