Autolus Ltd. on cord

Autolus Ltd.

Associate Director, Operational Intelligence

External position
Stevenage, UK
Hiring internally for Autolus Ltd.?
BioTech · Pharmaceuticals · MedTech
Focused on the development of precisely targeted, controlled & highly active T cell therapies for cancer
Posted
a month ago
Checked
cord regularly checks that external positions are still open
6 hours ago

Skills & Experience

Job roles: Head of Operations
Experience level: Lead, Leadership
Core skills considered: Business Analysis, Building Teams, Stakeholder Management, Project Management, Data Analysis
Other skills considered: Business Development Strategy, Process management, Financial strategy, Communication software

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

The Associate Director, Operational Analytics & Modelling will be responsible for developing and maintaining the analytical capabilities required to understand, model, optimise and improve Autolus' end-to-end operations.

The role sits within the Operational Excellence team and operates at the intersection of data analytics, operational improvement, operational strategy and business improvement. The successful candidate will create integrated views of our operations by combining operational data, process maps, capacity models and financial information to support decision-making across Manufacturing, Testing, Supply Chain, Quality, MSAT, Engineering and supporting functions.

This is not a traditional reporting or dashboarding role. The primary purpose is to develop models, simulations and analytical frameworks that help the organisation understand current performance, identify constraints, prioritise improvement opportunities and evaluate strategic options.

The role will provide the analytical foundation for Operational Excellence initiatives, investment decisions, business cases, operating model development and long-term capacity planning.


Key Responsibilities

Operational Modelling and Simulation

  • Develop, maintain and continuously improve the enterprise operating model.
  • Build and maintain capacity models covering manufacturing, testing, logistics and supporting functions.
  • Develop simulation models to evaluate the impact of process changes, technology implementations, automation opportunities and organisational changes.
  • Conduct scenario planning and sensitivity analysis to support strategic decision-making.
  • Create digital representations of value streams and operational workflows that can be integrated with operational performance data.

Data Analytics & Insight Generation

  • Extract, integrate and analyse data from operational systems including eBR, LIMS, ERP, quality systems, planning tools and equipment data sources where applicable.
  • Develop datasets, analytical models and visualisations that support operational decision-making.
  • Investigate operational performance drivers including cycle time, throughput, resource utilisation, deviations, productivity and cost.
  • Identify trends, correlations and constraints that impact operational performance.
  • Translate complex analyses into practical recommendations for business leaders.

Business Cases & Decision Support

  • Provide analytical support for strategic and operational business cases.
  • Build cost-benefit analyses, ROI models and financial impact assessments.
  • Model the expected operational and financial impact of proposed improvement initiatives.
  • Support make-versus-buy decisions, technology investments, automation opportunities and capacity expansion evaluations.
  • Partner with Finance and operational functions to validate assumptions and quantify benefits.

Data Architecture, Quality & Governance

  • Partner with Digital/IT and Quality to improve data availability, quality, integrity, and traceability across operational systems (e.g., MES, LIMS, ERP).
  • Establish and maintain governance around key operational metrics, data sources, and modelling assumptions.

Advanced Analytics & Problem Solving

  • Lead or support deep-dive investigations into major drivers of cost, variability, cycle time, failure modes, and inefficiencies.
  • Apply a variety of analytical approaches (statistical methods, simulation, forecasting, advanced Excel/Python techniques, etc.) to produce high-quality insights.
  • Support the development of predictive or algorithmic models where appropriate (e.g., demand patterns, resource forecasting).

Leadership & Collaboration

  • Act as the organisation's central point for Business Intelligence relating to operational performance.
  • Collaborate cross-functionally with Production, Testing, Supply Chain, MSAT, Digital, Finance, and Operational Excellence to identify and deliver high-value analytic work.
  • Translate complex analyses into clear, concise narratives for senior leadership.

Requirements

  • Strong experience in operational analytics, business intelligence, process modelling, operational strategy or operational excellence.
  • Advanced Excel capability including complex modelling and scenario analysis.
  • Strong experience with Power BI, Power Query and data visualisation tools.
  • Experience using Python, R or similar analytical tools to manipulate and analyse large datasets.
  • Demonstrated ability to build analytical models that support business and operational decision-making.
  • Strong stakeholder management and communication skills.
  • Ability to work across technical and non-technical teams and translate analytical outputs into actionable recommendations.
  • Experience in biotechnology, pharmaceuticals, advanced therapies, manufacturing or other regulated industries.
  • Familiarity with eBR, MES, LIMS, ERP and operational data architectures.
  • Experience with simulation modelling, capacity planning or operations research techniques.
  • Understanding of Lean, Six Sigma or Operational Excellence methodologies.
  • Experience developing business cases and supporting strategic investment decisions.

Qualifications

  • Degree in Engineering, Operations Research, Data Science, Industrial Engineering, Mathematics, Statistics or a related discipline.

Skills/Specialist knowledge

  • Naturally curious and motivated to understand how complex systems operate.
  • Strong systems thinker with the ability to connect data, processes, resources and outcomes.
  • Highly analytical and comfortable working with imperfect or incomplete data.
  • Commercially minded and focused on delivering tangible business value.
  • Able to balance strategic thinking with hands-on analytical execution.
  • Collaborative, pragmatic and action-oriented.
  • Comfortable challenging assumptions through fact-based analysis.

Company Benefits

  • Competitive salary
  • Performance related bonus
  • Private medical insurance
  • Life assurance
  • Pension
  • Access to an employee share scheme
  • Flexible working
Associate Director, Operational Intelligence at Autolus Ltd.
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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