refresh

트렌딩 기업

트렌딩 기업

채용

채용Accenture

Bus & Technology Delivery Assoc Manager

Accenture

Bus & Technology Delivery Assoc Manager

Accenture

Manchester

·

On-site

·

Full-time

·

3d ago

Job Description:

Technology Delivery Lead Assoc Manager Role Location: Belfast Salary: Competitive (based on experience)Level: Accenture will be hiring at Assoc Manager level Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.

Note: The above information relates to a specific client requirement.As a team:

Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

The Opportunity:

Do you lead with both technical depth and delivery excellence?

At Accenture Technology, we're looking for an engineering-focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes — and the curiosity to drive teams forward in an AI-enabled world.

You'll be embedded in real client engagements across our Global Delivery Network — working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like.

With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery — not just manage it.

What You'll Do

You'll own end-to-end delivery — accountable for quality, pace, and client confidence from kick-off to go-live. Here's how that breaks down:

Lead

  • Drive delivery of high-quality technology transformation programmes, on time and on budget

  • Lead multi-functional, geographically distributed engineering teams across the full delivery lifecycle — design, build, test, and deploy

  • Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact

  • Act as a trusted technology delivery partner for clients — bridging the gap between engineering reality and business expectation

Plan & Decide

  • Actively contribute to technical decisions — evaluating architectural trade-offs, build vs. buy options, and their downstream impact on delivery risk and pace

  • Use AI-assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data-informed sprint and programme decisions

  • Develop and manage end-to-end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies

  • Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) — using AI tooling to surface patterns and predict blockers before they land

  • Lead governance, stakeholder reporting, and budgetary control with clarity and accountability

Shape the Future of Engineering Delivery

  • Champion AI-enabled delivery practices within your teams — from AI-assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight

  • Stay ahead of where engineering delivery is going — agentic development, AI in the SDLC, Dev Sec Ops, platform engineering — and bring those practices into your programmes

  • Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped

  • Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale

  • Proven track record of successfully leading end-to-end technology delivery programmes at scale, including budget ownership

  • Strong engineering background — able to actively engage in technical design, architecture, and solution decisions, not just translate between teams

  • Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies

  • Experienced people leader — able to build, motivate, and develop high-performing, cross-functional engineering teams

  • Excellent stakeholder management skills — confident engaging senior client and internal leaders on both technical and commercial dimensions

  • Strong organisational skills, able to manage multiple priorities and workstreams simultaneously

  • Hands-on user of AI-enabled delivery tooling who actively champions adoption across their teams — able to speak concretely to how it has changed the way you plan, report, and lead

AI-Enabled Engineering Leadership (Essential at CL8)

  • Practical experience using AI tools to improve delivery outcomes — e.g. AI-assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis

  • Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high-stakes decisions

  • Awareness of AI's evolving role in the SDLC — from AI-assisted code generation and testing through to agentic workflows and autonomous delivery tooling

  • Understanding of where AI adds genuine value in engineering delivery — and where human oversight remains essential

Set Yourself Apart

  • Proven ability to manage complex multi-vendor or multi-team delivery environments

  • Experience influencing senior stakeholders and navigating organisational complexity

  • Demonstrable knowledge of modern engineering practices — Dev Sec Ops, SRE, platform engineering, modern architecture

  • Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2)

  • Strong Technical and Emotional Quotient — able to hold both the engineering depth and the human dimensions of delivery

What’s in it for you

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on range of gyms, private medical insurance and three days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role to deliver the first-class services we are known for.

Closing Date for Applications 31/05/26

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Accenture 소개

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

직원 수

Dublin

본사 위치

$139B

기업 가치

리뷰

3.6

9개 리뷰

워라밸

2.8

보상

3.5

문화

3.2

커리어

3.8

경영진

3.0

65%

친구에게 추천

장점

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

단점

High levels of politics

Long hours and stress

Slow moving processes

연봉 정보

20개 데이터

L2

L3

L4

L5

L6

L2 · Solution Architect L2

0개 리포트

$105,620

총 연봉

기본급

$42,248

주식

$52,810

보너스

$10,562

$73,934

$137,306

면접 경험

6개 면접

난이도

2.8

/ 5

소요 기간

14-28주

합격률

17%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit