Technical Delivery Manager

66degrees
London
5 days ago
Create job alert
Overview of 66degrees

66degrees is a leading consulting and professional services company specializing in developing AIfocused dataled solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience we help the worlds leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

As an Agile Technical Delivery Manager you will be responsible for overseeing the development and delivery of technical projects in a fastpaced clientcentric environment. You will work closely with clients to understand their needs guide a team of technical professionals and ensure that projects are completed on time within budget and to the highest quality standards. This role is ideal for an individual with a strong technical background excellent project management skills and a passion for delivering exceptional service to clients. If you are looking to make a significant impact in a fastpaced and growing professional services firm we would love to hear from you.

Responsibilities

Client Engagement

  • Build and maintain strong relationships with clients.
  • Communicate regularly with clients keeping them informed of project progress and addressing any concerns.
  • Work closely with clients on site minimum 2 days a week.

Project Management

  • Lead and own the success of an engagement using Agile methodologies ensuring fastpaced and efficient delivery.
  • Understand clients desired business outcomes the engagements scope of work and align them within a backlog.
  • Manage project timelines budgets and resource allocation.
  • Identify assess and mitigate project risks and issues.
  • Review timesheets and make sure they accurately reflect the teams work.
  • Ensure accurate and timely documentation throughout the engagement.



Technical Delivery Governance

  • Understand the key components of the solution and their relationship to the scope and the desired business outcomes.
  • Provide delivery guidance and oversight on how to align the technical components design and implementation with the delivery timeline throughout the project lifecycle.
  • Ensure the delivery feasibility of proposed technical components.

Quality Assurance

  • Ensure that all deliverables meet quality standards and client expectations.
  • Implement quality control processes throughout the project lifecycle.

Team Leadership

  • Lead and mentor a team of technical professionals including architects engineers and QA specialists.
  • Foster a collaborative and highperforming team environment.
  • Conduct regular team meetings and ensure clear communication of project objectives and progress.
Qualifications

Delivery Requirements

  • 5 years of proven experience in technical project management preferably in a consulting environment.
  • Strong demonstrable knowledge of Agile methodologies (Scrum and Kanban).
  • Experience delivering complex multi stream projects at enterprise level ideally in financial services or digital natives.
  • Excellent leadership and team management skills.
  • Strong problemsolving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Experience with project management tools (e.g. JIRA Confluence).
  • Ability to manage multiple projects simultaneously.

Technical Requirements

  • Deep understanding of data management advanced analytics and visualization concepts.
  • Hands on technical experience of delivering data analytics and AI projects.
  • Strong knowledge of cloud ecosystems and their key products (preferably GCP).
  • Strong grasp of AI/ML solutions and their required delivery components.
  • Ability to understand technical components of data analytics and AI solution architecture.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race color religion sex gender gender identity national origin age weight height marital status sexual orientation veteran status disability status or other legally protected class.


Required Experience:

Manager


Key Skills
Project Management Methodology,Kanban,Project / Program Management,Agile,Waterfall,Project Leadership,Application Development,Project Management,Scrum,Microsoft Project,SDLC,Project Implementation
Employment Type :Full Time
Experience:years
Vacancy:1

Related Jobs

View all jobs

BMS Sales Manager

Graduate Business Consultant

Data & AI Architect (Basé à London)

Data & AI Architect (Basé à London)

Senior Technical Architect - Utilities (6 month FTC)

Senior Technical Architect - Utilities

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.