i dream of pipelines glen cathey

I Dream of Pipelines:How to make pipelining suck less

Glen CatheySVP Talent Acquisition Strategy and Innovation, Kforce

Author, BooleanBlackBelt.com

Pipelining: The Dream

Glen Cathey | Talent42

Pipelining: Reality


Pipelining: Reality

• Freddy Krueger


Pipelining: Reality

• Freddy Krueger

Activating Talent


Speaking to people who aren't actively looking to make a

change can get them thinking

about making a change…and spur them into taking action before you

can hire them.

Value

If it doesn't add value, it's waste.

Henry Ford1863-1947

American Industrialist


Lean & TPS

Lean is a production practice that considers

the expenditure of resources for any goal

other than the creation of value for the end customer to

be wasteful, and thus a target for elimination.

Glen Cathey | Talent42 Toyota Production System – The KaiZone: http://bit.ly/211nRgf

http://bit.ly/211nRgf

TransportEach time a product is moved it stands the risk of being damaged, lost, delayed, etc. as well as being a cost for no added value.

Inventory Inventory, be it in the form of raw materials, work-in-progress (WIP), or finished goods - any of these three items not being actively processed to add value is waste.

MotionPeople or equipment moving or walking more than is required to perform the processing

Waiting Whenever goods are not in transport or being processed, they are waiting.

Lean: Seven Deadly Wastes


OverproductionWhenever more product is produced than is required at that time by your customers (production in excess/ahead of demand). Generally considered the worst waste because it hides and/or generates all the others. Overproduction leads to excess inventory, which then requires the expenditure of resources on storage space and preservation, activities that do not benefit the customer.

Over Processing Over-processing occurs any time more work is done on a piece than is required by the customer.

Defects Exist whenever the product does not meet the customer's specifications, and include the effort involved in inspecting for and fixing defects.

Lean: Seven Deadly Wastes


A Tale of Pipelines


I Have a Plan

• Proactive pipelining

• High demand/low supply talent− Data Science/Analytics/Data Viz

− Mobility

− Cloud

− ERP

− Security

• "Sell" candidate inventory


Initial Challenges

• Leap of faith for recruiters

• KPI's/pipeline metric(s)

• Marketing strategy

• Lack of interest in pipeline talent in absence of open positions

• Tracking system was cumbersome, not customizable or sortable

• Inconsistent demand


Know what you want to accomplish and focus on

the process rather than the outcome.

Nick Saban

Head Coach, University of Alabama

5-Time National Champs (4 in 7 years)

191-60-1

Watch "The Perfectionist" - http://bit.ly/1YSxzVMGlen Cathey | Talent42

http://bit.ly/1YSxzVM

The Process• 2 live jobs or 1 job/1 pipeline skill per day

• Recruiters source new pipeline candidates daily while maintaining their existing one

• 2 subs/day & >/= 5 pipeline calls/day per recruiter

• Review pipelines during 1:1s and team meetings

• Proactively distribute top/active inventory to internal customers including senior leadership

• Regularly strategize on how to drive awareness and demand for the talent pipeline


Pipeline Reporting and Tracking


Tips and Tricks

• hhhhh


Successes• Developed a dedicated focus on finding the best talent and reverse

engineering the match from there

• Increased technical aptitude and market intelligence due to focus and 40+ pipeline calls/per day, >800/month

• Increased response and referral rates

• >35% of candidates submitted each week come from existing inventory vs. a reactive call/match/submit scenario

• Regular "Pipeline Check" requests require no new recruitment efforts


Top Retail Company• Uncovered an ongoing demand for

Hadoop talent

• Leveraged existing Hadoop candidate

inventory and sought to qualify for people

who would be a particularly a good match

for the manager's specific environment

• With no specific role identified, the team

marketed over a Hadoop candidate and a

Data Scientist for review. The manager

hired the Hadoop candidate and

forwarded the Data Scientist to another

group who hired him


Top Telecom Company: • Hiring manager made mention of an

upcoming hard to find Cloud skill set: "I’m just telling you now since it will take you a while to find someone like this."

• The team leveraged their existing pipeline focus on Cloud with Docker Containers and sent over a candidate to review

• With no open job, the hiring manager responded within minutes to request an interview that resulted in a hire

• Perhaps more importantly, the manager's perception of our capability changed dramatically

Top Telecom Company • Hiring manager made mention of an

upcoming hard to find Cloud skill set: "I’m just telling you now since it will take you a while to find someone like this."

• The team leveraged their existing pipeline focus on Cloud with Docker Containers and sent over a candidate to review

• With no open job, the hiring manager responded within minutes to request an interview that resulted in a hire

• Perhaps more importantly, the manager's perception of our capability changed dramatically


Concerns• Massive waste

• If you build it, they won't necessarily come

• Candidate experience

• Time spent managing pipelines vs. filling open positions

• Success stories are great, but the majority of hires (~70%) don't and won't come from candidate pipelines


• Pipeline with a purpose− What exactly are you trying to accomplish and why?− Focus on the process, not the outcome− Begin with faith – build it first

• Make it simple – X calls/day− Review and discuss pipeline efforts daily

• Involve hiring managers and executives− Intakes are key− Celebrate and share wins and socialize losses− Create and distribute a daily/weekly pipeline − Proactively pitch & SELL!

• Candidate experience – manage expectations!− Don't over-process candidates

• Pipelines don't magically solve hiring challenges− Expect considerable waste – it's unavoidable− Seek to limit overproduction and reduce defects

And if you don't know…


i dream of pipelines glen cathey

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