fair pay: a broken contract?€¦ · communities’ johan lundgren ceo easyjet plc january 2018...
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Fair pay: A broken contract?
GB Rewards Network
10 May 2018
Mario Yiannopoulos, easyJet
Daniel Puckey, Willis Towers Watson
Tamsin Sridhara, Willis Towers Watson
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Watson and Willis Towers Watson client use only.
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Our breakout session
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Talent diversity – closing the gap in practice
Easyjet insights from Mario Yiannopoulos
Equal pay
Market insights and common questions – Daniel Puckey
Equal pay – ensuring your pay structures are really fit for purpose
Easyjet case study with Mario Yiannopoulos, Head of Reward1
2
3
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Common board and employee questions
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Do we have equal pay?
Audit
Pay management
Pay infrastructure
Pay increases
Amendments
Assurance
Nevertheless it’s fair to say our headline
numbers needed plenty of explaining – quickly
and carefully
Mean Median
Hourly rate of pay 51.7% 45.5%
Bonus pay 43.8% 32.2%
1Q 2Q 3Q 4Q
Men 31.1% 35.2% 62.6% 89.3%
Women 68.9% 64.8% 37.4% 10.7%
Employee distribution by quartile pay bands
Pay and bonus gap
We also had a significant external and
internal commitment from the new boss
‘Committed to equal pay
and equal opportunity’
‘Committed to
addressing a gender
imbalance in our pilot
and senior management
communities’
Johan Lundgren
CEO easyJet plcJanuary 2018
"At easyJet we are absolutely committed to
giving equal pay and equal opportunity for
women and men. I want that to apply to
everybody at easyJet and to show my
personal commitment I have asked the
Board to reduce my pay to match that of
Carolyn's when she was at easyJet
I also want to affirm my own commitment to
address the gender imbalance in our pilot
community which drives our overall gender pay
gap.
easyJet has already gone further than other
airlines in trying to attract more women into
a career as a pilot. I want us not just to
hit our target that 20% of our new pilots
should be female by 2020 but to go further
than this in the future.“
Addressing the gender pay gap for us starts with
building strong foundations (job evaluation) and
re-thinking our approach to talent mobility and
career progression (career pathways)
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Questions?
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?
?
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Do we have equal pay?
Audit
Pay management
Pay infrastructure
Pay increases
Amendments
Assurance
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How can you test for equal pay risks?Advice from the Equality and Human Rights Commission (EHRC)
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https://www.equalityhumanrights.com/en/publication-download/equal-pay-statutory-code-practice
11
Deciding the
scope
1STEP
Determining
where men
and women
are doing
equal work
2STEP
Collecting
pay data
3STEP
Identifying
causes of
gender pay
differences
4STEP
Developing
an action
plan
5STEP
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How do you understand your key areas of equal pay risk?
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Example equal pay gap reporting analysis Example absolute pay risk reporting analysis
< +/- 5% difference between M/F pay
5 - 10% difference between M/F pay
> +/- 10% + difference between M/F pay
Business Unit 1 Business Unit 2
LevelD
epart
ment 1
Depart
ment 2
Depart
ment 3
Depart
ment 1
Depart
ment 2
Depart
ment3
1 4%
2 -5%
3 -4% 5%
4 -3% 19%
5 -4%
6 2%
7 -7% 1% -3% -6%
8 -6% 2% 3% -17%
9 -15% -2% -6% -12%
‘Traffic light’ heat map
represents degree of
gender pay difference and
risk, using agreed criteria
12
Absolute pay risk:
Considering the highest and lowest paid men and women (as
any woman can compare their pay to any man)
ILLUSTRATIVE
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The next step is to look at factors that could account for any differences
Job Architecture (to group jobs requiring
similar skills)
Job Levels or Grades to group jobs within
similar scope and levels of responsibility
and accountability (not market pay)
If applicable, jobs which require different
degrees of physical or sensory effort
Performance ratings
Market
Geographic location
Experience/years of service
Education
Promotion history
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Job data to establish comparabilityIncumbent and job data that may
impact pay differences
Reward processes that may impact
systemic pay differences
Talent Management
Recruitment profile and pay
Promotion profile and pay
Succession planning
Performance Management
Ratings allocation
Base pay increases
Regular Bonus payments
Ad hoc bonuses
Other processes
Overtime allocation
Training and project opportunities
…
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For larger organisations can run a multi-regression analysis
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The multi regression
approach predicts a pay level
for each individual based on
their own combination of
factors unique to that
employee and job. If
employees identified in the
core analysis as an equal
pay risk are identified here
as far from their predicted
pay then pay adjustments
should be focused here
Country GenderActual Avg.
Base Salary
Predicted Base Salary*
Actual Avg. Base Salary is:Average Predicted Range (min-max)
Country AMale $45,000 $44,881 $44,226 $45,545 Within predicted range
Female $36,167 $36,260 $35,563 $36,970 Within predicted range
Country BMale $58,315 $56,297 $54,965 $57,054 Above predicted range
Female $47,240 $47,111 $45,851 $48,405 Within predicted range
EEID Position Title Gender Year in PositionLength of
Service
Actual Base
Salary
Predicted Base
Salary
% Deviation from
Predicted Base
Salary
1359 Sr. Accountant Male 6 10 $82,000 $78,175 105%
1360 Sr. Accountant Female 2 2 $72,000 $75,025 96%
Illustrative analytics by country
Illustrative analytics by employee
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How do you balance business needs to recruit with requirement to comply with equal pay?
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…If you have no job evaluation system?
…if you only rely on market pay/employee pay in last job to set starting salaries?
…If you have broad ranges?
…If you have performance related base pay increases?
…If you have strong job architecture – but wide ranges?
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