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Booz Allen Hamilton
Booz Allen Hamilton

Specializing in digital transformation and artificial intelligence.

AI Delivery Manager

职能运营
级别Lead级
地点Stuttgart, Baden-Wurttemberg
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

SQL

AWS

Kafka

Spark

Tableau

Scala

Machine Learning

AI Delivery Manager:

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As an AI Delivery Manager, you know that leading teams in organizing and operationalizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced leader like you to drive strategy and delivery for advanced AI and data engineering solutions that impact critical missions.

As an AI Delivery Manager at Booz Allen, you’ll lead and oversee data engineering and AI delivery activities on some of the most mission-driven projects in the industry. You’ll set direction, guide technical teams, and ensure successful implementation of enterprise-scale AI solutions, with a distinct focus on applied production AI.

Here, you’ll manage and mentor a multi-disciplinary team of analysts, data engineers, developers, and data scientists in a fast-paced and agile environment. You’ll leverage your experience in technical leadership, solution architecture, and operational excellence while you own the assessment, design, and delivery of advanced analytic and AI solutions for your clients.

Work with us to lead data and AI innovation for good.

Join us. The world can’t wait.

You Have:

  • 8+ years of experience in data engineering, application development, or data science

  • 6+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale

  • 5+ years of experience delivering data engineer solutions for the Do

W and Combatant Commands:

  • 5+ years of experience in technical project leadership

  • 5+ years of experience with Python, SQL, Scala, or R

  • 1+ years of experience with Agentic AI capabilities and platforms

  • Experience creating solutions within a collaborative and cross-functional team environment

  • Experience building narratives for demos and presentations

  • TS/SCI clearance

  • Bachelor's degree in computer science, data science, or mathematics

Nice If You Have:

  • Experience with Palantir tools, such as Foundry or Gaia

  • Experience with Databricks

  • Experience with Large Language Models, both applied and theoretical

  • Experience with distributed data or computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

  • Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS

  • Master’s degree in computer science, data science, or mathematics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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关于Booz Allen Hamilton

Booz Allen Hamilton

Booz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.

10,001+

员工数

McLean

总部位置

$4.2B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

4.0

薪酬

2.5

企业文化

4.2

职业发展

2.8

管理层

3.5

68%

推荐率

优点

Supportive management

Good work-life balance

Flexible work arrangements

缺点

Low compensation

Limited growth opportunities

Long hours during peak periods

薪资范围

37个数据点

L2

L6

Mid/L4

Senior/L5

L3

L4

L5

L2 · Chief of Staff L2

0份报告

$79,560

年薪总额

基本工资

$31,824

股票

$39,780

奖金

$7,956

$55,692

$103,428

面试评价

3条评价

难度

3.0

/ 5

时长

21-35周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Team Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Problem Solving