The document discusses the roles of Chief Data Officer, Chief Analytics Officer, and Lead Data Scientist. It describes how these roles lead culture change to create data-driven organizations by managing the data life cycle, including acquisition, analytics, governance, quality, technology, and budget. These roles leverage an organization's data assets to support business strategy and are responsible for enterprise-wide data administration. The document also provides an overview of the responsibilities and skills needed to succeed in these data leadership positions.

1. Chief
Data
Officer
/
Head
of
Analy6cs
/
Lead
Data
Scien6st

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Chief Data Officer (CDO) /
Chief Analytics Officer (CAO) /
Lead Data Scientist
are the leaders enabling culture change to
create a data driven organization

3. Data
Science
The
process
of
taking
raw
data,
producing
informa6on
from
data,
and
using
this
informa6on
to
guide
ac6ons
that
will
bring
financial
benefits
to
business

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Chief Data Officer (CDO) /
Chief Analytics Officer (CAO) /
Lead Data Scientist
• A new profession that is becoming very common in
corporations
• He/she is a corporate officer who is the business
leader for enterprise-wide data processing and data
mining.
• The CDO typically reports to the CEO or the COO
and is a member of the executive management team
of a company or business unit.
• CDOs leverage their organization's data assets to
support the business strategy. He/she manages
enterprise-wide data administration and is the
champion of enterprise information management
• CIOs are very concerned with this new role, because
of the threat to their current power

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The role of the Chief Data Officer
A data scientist is the one
who looks for insights
The insight is operationalized
in BI/DW products, by data architects
The insight is shared
with the enterprise
The CDO or Lead Data Scientist is the
executive responsible and accountable for
the data life cycle inside the organization,
managing the people involved in the data
activities, such as acquisitions, analytics,
processes, governance, quality, technology
and budget

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“Organizations are about to be
swamped with massive data
tsunamis. The Chief Data Officer
is responsible for engineering,
architecting, and delivering
organizational data success” –
Peter Aiken, PhD

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The 3 Architectures a Company needs
to succeed
Business
Architecture
Technology
Architecture
Data
Architecture

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The Chief
Data
Officer
Role

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A Chief Data Officer
is the executive
responsible to
manage these areas

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Foundations of the Data team
responsibilities
• Data Strategy
• Data Analytics
• Data Insights
• Data Architecture
• Data Governance
• Data Quality
• Data Acquisitions
• Data Operations
• Data Policies
• Data Security
• Data Protection

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How the Data Leader should
implement Big Data projects
• Define what Big Data and Analytics mean to the
organization
• Establish a data-driven culture inside the business units
• Adopt the most-suited technologies of business rules
• Put in place predictive analytics to build decision systems
that are agile, analytic and adaptive

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At the end, on Big Data, a CDO and the
team should
• Support the data initiatives, using the assets from
different sources, with quality as a requirement
• Drive business insights, so the users can act
promptly
• Execute his/her tasks fast, in real-time if possible

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The evolving CDO role will challenge structure, scope and power
relationships between executive committee members.
The scarcity of information leader talent will require executive
leaders to develop it as much as hire it.

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The mind set of the Data Leader
• Handle data management is not a project,
but as an evolving process
• He/she is there to break the data silos
inside business
• Know to move from products to platforms
• Able to accelerate revenue by creating new
business models and offers
• Speed up cycle time
• Work together with customers (internal or
external)
• Create an agile and lean organization

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What is required to be
successful as a CDO
• A CDO should also be accountable for business
results, like any other C-Level executive
• A CDO must forge and sustain trusting,
collaborative and effective sound relationships
with other C-Level executives
• A CDO must avoid all technicalities when
discussing business issues
• A CDO must become the bridge between
business needs and technology possibilities
• A CDO has to make sure to work on issues that
will have the most significant impact on the
organization performance

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• A good CDO can implement a data organization
with success
• A great CDO has the ability to turn raw data into
large revenue streams for the business
• Components such as technology and
methodologies are important, but they are just
enablers
• The CDO focus is delivering enterprise value to the
business (not writing code or SQL scripts)
From good to great CDO

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Salaries – Total Compensation a Year
• Chief Data Officers / Chief Analytics Officers / VP roles
• Low range of US$ 450K a year
• High end around US$ 2 million a year (financial
services companies in NYC)

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Who am I ?
• MIT recognition as one of the first Chief Data Officers and Lead Data Scientists in the
world (just Google “Mario Faria Chief Data Officer”)
• 20+ years working with Information Technology, Management Consulting, Financial
Services, Retail, CPG and Private Equity
• Proven expertise in Data Management, Data Science, Analytics and Supply Chain
Management
• Speaker at several conferences on the subject in USA, Europe and Latin America
• Contributor to magazines and publications
• Big Data Advisor at the Bill and Melinda Gates Foundation
• Member of the MIT Data Science Initiative
Reputation – Results Driven – Business Orientation - Relationship among C-Level
Executives – People Management Expertise - Knowledge of the Data Market -
Technology Understanding

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Thank you
Mario Faria
Chief Data Officer
http://www.linkedin.com/in/mariofaria/
Founder of the Digital Mad Men
www.slideshare.com/fariamario
Twitter : @mariofaria
fariamario@hotmail.com
+1 (425) 628-3517