United Kingdom

Contact & Follow

Tom Teixeira

Partner

About Tom

Tom is a Partner based in our London office with the responsibility of enhancing and building the Risk practice’s service offering . He brings 20+ years risk management experience both in senior consulting and operational roles.  His key areas of expertise include:

  • Risk based strategic planning and forecasting,
  • Risk analysis and quantification,
  • Total Cost of Risk (TCOR) reduction strategies including insurance and captive management,
  • Governance, risk and compliance technology platforms

Prior to joining ADL, Tom held senior positions in the professional services and insurance sectors including EMEA risk advisory partnerships at Alvarez & Marsal LLP and Willis Towers Watson where he supported FTSE250 and Fortune 500 companies improve their approach to risk management and drive business performance.  Earlier in his career he held the role of Head of Risk Management at Roll-Royce plc, the technology company, where he was the recipient of the 2007 European Strategic Risk Discretionary Award for Excellence in Risk Management.
He was a key author of  AIRMIC’s 2017 Risk Appetite guide, Jan 2017 report: Ensuring Corporate Viability in an Uncertain World – providing a focus on the Viability Statement, the Institute of Directors’ 2012 publication: “Business Risk, A Practical Guide For Board Members”, and contributes regularly to the Wall Street Journal, Financial Times and Commercial Risks Europe.

Other activities and affiliations include:

  • Visiting lecturer at Cardiff University on risk management methodologies
  • Member of British Standards Institute (BSI) committees for Risk Management and Governance

In his spare time, Tom is a keen cyclist, golfer and skier, and supports the arts, in particular opera.

Education

University: University College London
MSc Systems Engineering
University: Cardiff University
BEng Mechanical Engineering and Energy Studies

Past Experience

Alvarez & Marsal
Practice Leader/ Managing Director
Willis Towers Watson
Practice Leader / Managing Director

Insights

AVOIDING SURPRISES – A CASE FOR NEXT-GENERATION RISK ASSURANCE
Tom Teixeira, Marcus Beard
A more proactive approach is to systematically consider how assurance arrangements can be upgraded to minimize the chance of such events materializing. In recent years, the Three Lines Model from the Institute of Internal Auditors (IIA) has evolved to become a potentially valuable, overarching guide for assurance and governance, although many organizations struggle to practically integrate its key principles into their business operations and decision-making processes.
Sustainability in the supply chain: The risks and the rewards
Tom Teixeira, Martijn Eikelenboom
Supply chain sustainability risk management
Risk: Strengthening business resilience after COVID-19
Tom Teixeira, Stefano Milanese, Marcus Beard, Emanuele Salvador, Rick Eagar
Despite that they had invested in comprehensive crisis management planning, the spread of COVID-19 found many companies ill-prepared, even though it was a known risk with extreme consequences and a reasonable likelihood of occurring. Looking at the evidence, the authors consider the underlying causes of this poor preparedness and set out the key elements of a new business resilience approach suitable for the post- COVID-19 world.
Next-generation business resilience management
Tom Teixeira, Marcus Beard, Rick Eagar
Responses from large companies to the COVID-19 crisis have brought into sharp focus serious shortcomings in current risk and business continuity management approaches, such as lack of suitable data and intelligence, inadequate appreciation of risk velocity, and not enough agility to adapt to rapidly changing situations. Well before the crisis, Arthur D. Little (ADL) pioneered and deployed a new business resilience management approach with, at its core, an innovative predictive analytics tool powered by machine-learning technology to address these shortcomings.
Managing clinical trials during COVID-19 and beyond
Ben van der Schaaf, Thomas Unger, Dr. Michael Eiden, Craig Wylie, Tom Teixeira, Rick Eagar
One of the many consequences of the COVID-19 crisis has been difficulty in continuing to enroll and run clinical trials, which typically involve large numbers of people interacting in multiple geographies. Arthur D. Little (ADL) has pioneered and deployed a new, risk-based predictive analytical approach, powered by machine-learning technology. It enables pharma companies to make much better predictions and forecasts to support decision-making around key issues, such as adapting patient targets to favor less affected and recovering geographies, program extensions, and new trials.

Tom Teixeira

Partner

United Kingdom

Contact & Follow

About Tom

Tom is a Partner based in our London office with the responsibility of enhancing and building the Risk practice’s service offering . He brings 20+ years risk management experience both in senior consulting and operational roles.  His key areas of expertise include:

  • Risk based strategic planning and forecasting,
  • Risk analysis and quantification,
  • Total Cost of Risk (TCOR) reduction strategies including insurance and captive management,
  • Governance, risk and compliance technology platforms

Prior to joining ADL, Tom held senior positions in the professional services and insurance sectors including EMEA risk advisory partnerships at Alvarez & Marsal LLP and Willis Towers Watson where he supported FTSE250 and Fortune 500 companies improve their approach to risk management and drive business performance.  Earlier in his career he held the role of Head of Risk Management at Roll-Royce plc, the technology company, where he was the recipient of the 2007 European Strategic Risk Discretionary Award for Excellence in Risk Management.
He was a key author of  AIRMIC’s 2017 Risk Appetite guide, Jan 2017 report: Ensuring Corporate Viability in an Uncertain World – providing a focus on the Viability Statement, the Institute of Directors’ 2012 publication: “Business Risk, A Practical Guide For Board Members”, and contributes regularly to the Wall Street Journal, Financial Times and Commercial Risks Europe.

Other activities and affiliations include:

  • Visiting lecturer at Cardiff University on risk management methodologies
  • Member of British Standards Institute (BSI) committees for Risk Management and Governance

In his spare time, Tom is a keen cyclist, golfer and skier, and supports the arts, in particular opera.

Education

University: University College London
MSc Systems Engineering
University: Cardiff University
BEng Mechanical Engineering and Energy Studies

Past Experience

Alvarez & Marsal
Practice Leader/ Managing Director
Willis Towers Watson
Practice Leader / Managing Director

Insights

AVOIDING SURPRISES – A CASE FOR NEXT-GENERATION RISK ASSURANCE
Tom Teixeira, Marcus Beard
A more proactive approach is to systematically consider how assurance arrangements can be upgraded to minimize the chance of such events materializing. In recent years, the Three Lines Model from the Institute of Internal Auditors (IIA) has evolved to become a potentially valuable, overarching guide for assurance and governance, although many organizations struggle to practically integrate its key principles into their business operations and decision-making processes.
Sustainability in the supply chain: The risks and the rewards
Tom Teixeira, Martijn Eikelenboom
Supply chain sustainability risk management
Risk: Strengthening business resilience after COVID-19
Tom Teixeira, Stefano Milanese, Marcus Beard, Emanuele Salvador, Rick Eagar
Despite that they had invested in comprehensive crisis management planning, the spread of COVID-19 found many companies ill-prepared, even though it was a known risk with extreme consequences and a reasonable likelihood of occurring. Looking at the evidence, the authors consider the underlying causes of this poor preparedness and set out the key elements of a new business resilience approach suitable for the post- COVID-19 world.
Next-generation business resilience management
Tom Teixeira, Marcus Beard, Rick Eagar
Responses from large companies to the COVID-19 crisis have brought into sharp focus serious shortcomings in current risk and business continuity management approaches, such as lack of suitable data and intelligence, inadequate appreciation of risk velocity, and not enough agility to adapt to rapidly changing situations. Well before the crisis, Arthur D. Little (ADL) pioneered and deployed a new business resilience management approach with, at its core, an innovative predictive analytics tool powered by machine-learning technology to address these shortcomings.
Managing clinical trials during COVID-19 and beyond
Ben van der Schaaf, Thomas Unger, Dr. Michael Eiden, Craig Wylie, Tom Teixeira, Rick Eagar
One of the many consequences of the COVID-19 crisis has been difficulty in continuing to enroll and run clinical trials, which typically involve large numbers of people interacting in multiple geographies. Arthur D. Little (ADL) has pioneered and deployed a new, risk-based predictive analytical approach, powered by machine-learning technology. It enables pharma companies to make much better predictions and forecasts to support decision-making around key issues, such as adapting patient targets to favor less affected and recovering geographies, program extensions, and new trials.