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VP, Data Operations Transformation Lead


VP, Data Operations Transformation Lead

VP, Data Operations Transformation Lead

S&P Global
Atlanta, GA 30301

Job details

Job Type


The Data Operations & Transformation Lead will play a pivotal role in our strategic transformation from a people intensive manual data collection organization into next generation highly automated data collections. You will be tasks to work with managers across our data and engineering organizations to develop the vision and strategy for a highly automated organization that sources and transforms data to feed our data scientists, molders and analysts. With the end product delivered to our customers.

These efforts are occurring within the broader context of major strategic initiatives to extend our market leadership and build next-generation market data and analytics products that are powered by our World Class datasets. In short, the Data Operations & Transformation Lead will lead fundamental organizational and operational changes of data operations and strategy while partnering with engineering to building the next generation of data tools with modern could based technology.

The ideal candidate must be technical enough and up to date with modern technology to automate manual data collection processes. In addition the ideal candidate should be experienced in implementing ML/AI to automate manual data quality operations.

In addition to being technical, the candidate will manage and direct the existing data operations directing multiple global teams as they source data to feed our client facing products. Must have the ability to function as a data leader, agile coach and have an excellent customer focused attitude to lead our data sourcing teams. As Head of data Operations you will be responsible for the development and maintenance of the following:

Responsivities:
Data Collection\Sourcing: Mange a team that sources data from thousands of external data sources. Team consists of both manual and automated operations.

Data Transformation: Mange a team that transforms data based on business rules.

Data Quality: Mange a team that ensures the external sourced data is of top quality.

Data Operations: Manage the 24x7 data collection/sources, transformation and quality job. Ensure the jobs all always running and sourcing high quality data. Immediately fix any broken data jobs so there is Zero customer impact. Develop data metric dashboard to report our to executive leaderships.

Process Automation: Relentlessly, automate manual work. Relentlessly reduce the time it takes to source, clean and transform data, every second counts.

Agile: Operate the organization following agile principles.

Partner, collaborating and aligning with Technology, Product Management and customer-facing peers will be a key in identifying what needs to be develop so we are always delivering value to our customers. As a strategic partner with the business this position will lead the creation of a roadmaps for data to enable the business and drive revenue growth at the same time.

This position will require managing and building off-shore teams. Transform data operations in high cost locations via automation and leverage our global office locations.

Additional Responsibilities:
Development Management

Agile Responsibilities

Provide constant coaching to the agile teams in the program

Provide mentoring and guidance to team members

Have effective 1:1’s with your direct reports

Ensure managers and their team members work at capacity to ensure deadline are meet

Ensure agile teams estimate effort by breaking down components into work items

Occasionally get into the user stories and code to validate automation direction and design

Review their team's Kanban and ScrumBan boards weekly and ensure the teams operate efficiently and meet sprint goals

Attend your team's Sprint Reviews

Resource your projects and if needed create new teams. The PMO helps facilitate but the accountability for project resourcing is with you

Continually work on process improvement

Provide agile reports to executive management

Data Operations

Work closely with application support to ensure escalated items are addressed accordingly

Ensure production operations of 99.99% uptime

Partner with infrastructure to efficiently manage the AWS environments. Implement elastic infrastructure to control costs.

Stay current with modern data collection and processing technology

Workforce planning

Experience:
Experience partnering with Technology and Product Management in an agile environment

Prior experience running global data operations

Experience with SQL and No SQL big data technology

Management of high performance agile teams

Management of on-shore and off-shore teams

Technologies

Python

Informatica

Owl DQ

Colibri

Extensive SQL and No SQL big data technologies

AWS serverless development

BPM Software, Workflow Tools

Requirements

Bachelor's degree, preferably in Computer Sciences

Preferably at least 8+ years of data operations experience

Experience managing an agile environment

Experience with global teams

Advanced knowledge automated data tooling

Ability to collaborate and brainstorm in a team environment

Technical certification is a plus

Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $180,000 to $411,300. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires .

At S&P Global Platts, we provide the insights; you make better informed trading and business decisions with confidence. We’re the leading independent provider of information and benchmark prices for the commodities and energy markets. Customers in over 150 countries look to our expertise in news, pricing and analytics to deliver greater transparency and efficiency to markets. S&P Global Platts coverage includes oil and gas, power, petrochemicals, metals, agriculture and shipping.

S&P Global Platts is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.platts.com .

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only:
The EEO is the Law Poster https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP102 - Senior Management (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Job ID: 268165
Posted On: 2022-01-28
Location: New York, New York, United States

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• Post ID: 21461743


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