Adobe
Director, Data Science – Customer Engineering
Adobe, San Francisco, California, United States, 94199
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityWe seek a senior, experienced
‘hands-on’
Data Science leader to join our
Customer Engineering team within the Adobe
Digital
Experience
(DX)
Cloud Engineering.
Customer Engineering (CE) focuses on multiple aspects of product experience for Adobe Experience Platform (AEP) and AEP-related Apps, including diagnostics and prevention of customer issues
a
nd
technical
enablement to help
customers quickly and iteratively move through the product adoption lifecycle
to realize business value.
The CE team
also
partners closely with our Adobe Field teams (Pre-Sales, Consulting, and Support) Field and 3rd party partners to collect and synthesize real-world customer patterns to align our product roadmap and develop technical frameworks and tooling to help these field teams achieve scale and impact as they engage with customers.As
our
AEP
business grows
,
our product and
broader engineering
teams
are challenged to scale
themselves
to meet the
customer and field team
demands
.
In particular,
various
teams
need
data-driven,
actionable in
sights
that help
identify
, priori
tize, and focus people and technology investments
to help customer
s struggling to run,
operate
, or grow
business impact from
their AEP E2E
system.
In addition, there is
ample opportunity
to infuse more
customer
self
-serve
intelligence into our products
through
reporting, analytics, and
even
AI
assistance
. This senior leader would
be the founding member of a
Customer
Data Science
(CDS)
team to take on these challenges
–
requiring this leader to
develop and execute a
team
charter and roadmap
,
resulting in
new
customer
and operational
KPI
reporting
,
predictive
intelligence
(e.g.
,
at
-
risk customers
, customer maturity, etc.
)
, and
in-product
customer
usage and value
frameworks
in
collaborat
ion with
other
data
science related teams
,
such as our ML
ops and decision science
platform
teams.What
You’ll
DoAnalyze large and complex data sets related to
AEP
customer platform health,
usage,
and performance metrics to uncover insights and
identify
opportunities
to improve
customer support processes,
system implementation, or product enhancements
Develop and
monitor
AEP
key performance indicators (KPIs) and metrics to track
customer
-
level
E2E
platform
health,
capability usage and adoption,
value realization
, and other critical
customer platform success
measures
Conduct exploratory data analysis to
identify
patterns, trends, and correlations that can inform product
and engineering
strategy and guide decision-making
Collaborate closely with product managers, engineers, and
other
cross-functional teams to understand
customer <> product
goals, translate business questions into analytical tasks, and provide data-driven recommendations
Build statistical models and machine learning algorithms to predict
customer issues,
identify
product
adoption
drivers
(points of struggle
)
, personalize product
support interaction
s
, and optimize product performance
Communicate findings and insights effectively through clear data visualizations, reports, and presentations to technical and non-technical stakeholders
Partner with engineering and
other
business intelligence teams to
design and automate data pipelines
,
improve data tracking, data quality, and the overall data infrastructure supporting
customer and platform
analytics
What You Need to SucceedThe
optimal
candidate will have
10+ years’ experience in data science or related analytics role
s
(product, customer analytics)
,
including a
unique blend of
applied data science
technical
expertise
, analytical prowess, business savv
y
, communication skills, and leadership abilities to drive data-driven innovation and decision-making
.
D
etailed list
of desired skills
as follows:T
echnical
skillsExpertise
in machine learning, predictive modeling, data mining, and advanced statistical techniques.
Proficiency
in programming languages like Python
,
SQL, and working with big data tools like Spark and Hadoop
Experience with data visualization tools like Tableau for effectively communicating insights
Knowledge of cloud platforms like Amazon Web Services for data processing and model deployment
Analytical and Problem-Solving Skills
:Excellent analytical and problem-solving abilities to extract insights from complex datasets and drive data-driven decision-making.
Curiosity and passion for exploring new techniques and staying updated with the latest advancements in data science
Innovative mindset to develop novel solutions and find the "next big thing" that differentiates the organization
Business and Communication SkillsStrong business acumen to understand organizational goals and translate them into analytical tasks.
Ability to communicate complex technical concepts
simply
through data storytelling and visualizations.
Consultative approach to collaborat
ing
with cross-functional teams and stakeholders
Leadership and Management SkillsLeadership skills to guide and mentor junior data scientists and drive data science strategy.
Project management experience
to oversee
end-to-end data science projects and initiatives.
Ability to prioritize and manage multiple projects simultaneously while meeting deadlines.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $191,700 -- $345,700 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email
accommodations@adobe.com
or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
#J-18808-Ljbffr
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityWe seek a senior, experienced
‘hands-on’
Data Science leader to join our
Customer Engineering team within the Adobe
Digital
Experience
(DX)
Cloud Engineering.
Customer Engineering (CE) focuses on multiple aspects of product experience for Adobe Experience Platform (AEP) and AEP-related Apps, including diagnostics and prevention of customer issues
a
nd
technical
enablement to help
customers quickly and iteratively move through the product adoption lifecycle
to realize business value.
The CE team
also
partners closely with our Adobe Field teams (Pre-Sales, Consulting, and Support) Field and 3rd party partners to collect and synthesize real-world customer patterns to align our product roadmap and develop technical frameworks and tooling to help these field teams achieve scale and impact as they engage with customers.As
our
AEP
business grows
,
our product and
broader engineering
teams
are challenged to scale
themselves
to meet the
customer and field team
demands
.
In particular,
various
teams
need
data-driven,
actionable in
sights
that help
identify
, priori
tize, and focus people and technology investments
to help customer
s struggling to run,
operate
, or grow
business impact from
their AEP E2E
system.
In addition, there is
ample opportunity
to infuse more
customer
self
-serve
intelligence into our products
through
reporting, analytics, and
even
AI
assistance
. This senior leader would
be the founding member of a
Customer
Data Science
(CDS)
team to take on these challenges
–
requiring this leader to
develop and execute a
team
charter and roadmap
,
resulting in
new
customer
and operational
KPI
reporting
,
predictive
intelligence
(e.g.
,
at
-
risk customers
, customer maturity, etc.
)
, and
in-product
customer
usage and value
frameworks
in
collaborat
ion with
other
data
science related teams
,
such as our ML
ops and decision science
platform
teams.What
You’ll
DoAnalyze large and complex data sets related to
AEP
customer platform health,
usage,
and performance metrics to uncover insights and
identify
opportunities
to improve
customer support processes,
system implementation, or product enhancements
Develop and
monitor
AEP
key performance indicators (KPIs) and metrics to track
customer
-
level
E2E
platform
health,
capability usage and adoption,
value realization
, and other critical
customer platform success
measures
Conduct exploratory data analysis to
identify
patterns, trends, and correlations that can inform product
and engineering
strategy and guide decision-making
Collaborate closely with product managers, engineers, and
other
cross-functional teams to understand
customer <> product
goals, translate business questions into analytical tasks, and provide data-driven recommendations
Build statistical models and machine learning algorithms to predict
customer issues,
identify
product
adoption
drivers
(points of struggle
)
, personalize product
support interaction
s
, and optimize product performance
Communicate findings and insights effectively through clear data visualizations, reports, and presentations to technical and non-technical stakeholders
Partner with engineering and
other
business intelligence teams to
design and automate data pipelines
,
improve data tracking, data quality, and the overall data infrastructure supporting
customer and platform
analytics
What You Need to SucceedThe
optimal
candidate will have
10+ years’ experience in data science or related analytics role
s
(product, customer analytics)
,
including a
unique blend of
applied data science
technical
expertise
, analytical prowess, business savv
y
, communication skills, and leadership abilities to drive data-driven innovation and decision-making
.
D
etailed list
of desired skills
as follows:T
echnical
skillsExpertise
in machine learning, predictive modeling, data mining, and advanced statistical techniques.
Proficiency
in programming languages like Python
,
SQL, and working with big data tools like Spark and Hadoop
Experience with data visualization tools like Tableau for effectively communicating insights
Knowledge of cloud platforms like Amazon Web Services for data processing and model deployment
Analytical and Problem-Solving Skills
:Excellent analytical and problem-solving abilities to extract insights from complex datasets and drive data-driven decision-making.
Curiosity and passion for exploring new techniques and staying updated with the latest advancements in data science
Innovative mindset to develop novel solutions and find the "next big thing" that differentiates the organization
Business and Communication SkillsStrong business acumen to understand organizational goals and translate them into analytical tasks.
Ability to communicate complex technical concepts
simply
through data storytelling and visualizations.
Consultative approach to collaborat
ing
with cross-functional teams and stakeholders
Leadership and Management SkillsLeadership skills to guide and mentor junior data scientists and drive data science strategy.
Project management experience
to oversee
end-to-end data science projects and initiatives.
Ability to prioritize and manage multiple projects simultaneously while meeting deadlines.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $191,700 -- $345,700 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email
accommodations@adobe.com
or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
#J-18808-Ljbffr