Brendan Browne, LinkedIn's head of talent acquisition shares how the LinkedIn talent acquisition team is continuing to push new approaches to data-driven recruiting, what’s worked, and what mistakes they've made.
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5. Our Opportunity
The recruiting organization who figures out how to
extract the value of the web’s people data and how
to build a recruiting team model that operationalizes
at scale, will define the future of talent acquisition!
10. Use data to set expectations with hiring managers
Data Center Operations Manager
Keywords
Location
Industry
Seniority
Interested In
Company Size
Years of Experience
Years in Position
Company Type
"Data Center" OR "Datacenter"
Within 50 Miles
Internet
Manager
Potential Employees
501-1,000 OR 1,001-5,000 OR 5,001-10,000, OR 10,000+
6 to 10 years OR More than 10 years
3-5 years OR 6-10 years
Public Company
Language English
Recommendations 3-4 OR 5-10 OR 11-20 OR >20
19. The Where
Over 475,000 Software Engineers on LinkedIn in the US
20. The Where
Big Markets vs. Hidden Gems
(based on LinkedIn recruiter contact Feb-Aug 2012)
21. The Where & Some Why
New York provides a 33% larger supply of talent than Seattle, and has
less overall demand for talent
Supply Demand
Region / Metro Area # SW Engineers
# SW Eng
Jobs posted
(Q2 2012)
Jobs Posted
(% of total pool)
% w job change
(past 12 months)
SF Bay Area 65,000 24,500 37.7% 19%
NYC 36,100 5,200 14.4% 13%
Boston 28,900 5,600 19.5% 15%
Seattle 26,900 20,200* 75.1% 17%
Washington DC 20,100 4,200 21.0% 12%
Chicago 17,300 2,100 12.4% 13%
22. The Where & Why
Seattle
Skill Mix by City
New York
(word size represents skill frequency)
23. The Where & Why
Seattle has more entry-level engineers
NY has more senior and manager-level talent
Manager
and Above
9.6%
Manager
and Above
6.9%
24. The Why
ABC Co is more connected in Seattle
with 618 employees connected to 2,255 engineers in Seattle
New York Seattle
Company # Connected
in pool
% Connected
in pool
# Connected
at company
Company 1 9,721 27% 22,280
Company 2 8,666 24% 8,620
Company 3 7,500 21% 7,583
Company 4 7,435 21% 11,844
Company 5 7,026 19% 8,974
Company 6 6,381 18% 5,583
Company 7 6,299 17% 5,241
Company 8 6,230 17% 5,103
ABC Co 1,106 3% 597
Company # Connected
in pool
% Connected
in pool
# Connected
at company
Company 1 20,335 76% 43,248
Company 2 15,573 58% 10,340
Company 3 11,675 43% 8,965
Company 4 6,474 24% 1,754
Company 5 6,311 23% 11,418
Company 6 5,523 21% 6,745
Company 7 5,183 19% 6,680
Company 8 5,097 19% 7,959
ABC Co 2,255 8% 618
25. “Connectedness” Matters…
21% 12% 10%
more likely to be
knowledgeable
of employers
more likely to have a
positive impression
of employers
more likely to
consider a job
with employers
31. We made more progress
But still it’s not scalable
32.
33.
34.
35.
36. Total Addressable Market aka TAM
High"
Revenue
Opportunity
Nurture “Red Carpet”
Temperature
Who is likely to buy?
Low"
High"
Tele-
Sales
Build
Awareness
37. We’ve been busy
over the last year!
—Operationalizing the TAM
38. We Segmented and Prioritized 2,000
Systems Infrastructure Engineers
High"
Quality
Who has expertise
in skills we need?
1:1 approach
Temperature
699
Which prospects are most likely engage?
Low"
High"
1:Many
35
1:Many
1207
1:Many
59
45. Engineering Pilot Results
Most successful
recruiter in
Systems Infra
Engineering
85% response rate
via warm intros
Enable Eng Recruiting
team to set a company
record in quarterly
hiring results
55. Project Catapult Objective
Ensure that Talent Acquisition is not a gate
to meeting objectives for Engineering !
& Sales over 5 year horizon!
!
56. Faster
Path to
Growth
Supply
Demand
Capacity
TA Efficiency
Accelerators
57. Project Catapult
Identify
business
implications
1
Supply
ID total TAM for All
Roles globally
2
Demand
5 year estimated
workforce plan
3
Capacity
Estimate TA
capacity required
4
Efficiency
accelerators
58. “TAM” for Every Job “Track” & Level
High"
Quality
Who has expertise
in skills we need?
1:Many 1:1 approach
Temperature
Which prospects are most likely engage?
Low"
High"
1Many
1:Many
59. TA Accelerators
Current
path
Increase
social
recruiting
Use the
“TAM”
Approach
Operational
efficiency
Change Org
Design of BUs
Target New
geographies
Increase
campus
hiring