Job Description

Job Description

Job Title:

Data Analytics Manager

Type:

Direct Hire

Location:

Houston, TX - Hybrid

Experience:

5 years

The Data Analytics Manager is accountable for leading a team of data scientists and engineers in developing and implementing data-driven solutions to support the companys strategic objectives. The team provides support to the broader organization with a focus on partnering with various business operations to help them implement data analytics, machine learning and automation.

This role requires a balance of technical expertise, strong leadership skills, the ability to connect and align with individuals and teams across the entire organization, and an understanding of the energy sector.This position is located in downtown Houston, TX and reports to the VP of Data Analytics, Innovation, PMO and Supply Chain.

Roles & Responsibilities

Engage and collaborate in multi-disciplinary projects across the organization

Provide business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations

Provide guidance, mentorship, and direction to foster growth for a team of data scientists and data engineers

Evaluates, prioritizes and presents data analytics solutions for approval with key stakeholders including business leaders, managers, and engineering/technology leaders and collaborates with them to develop strategic roadmaps

Actively participates in the implementation of approved data analytics solutions and tracks cost savings and business impact

Deploys company-wide campaigns to promote data analytics as well as training and upskilling individuals across the organization

Stays engaged with emerging data analytics solutions and shares information across the organization

Coordinates participation and attendance at relevant conferences

Requirements

Masters or bachelors degree in data science, computer science, engineering or related field

Five (5) to Ten (10) years of relevant experience in engineering or data science

Established leadership experience with preferably three plus (3+) years directly managing teams and projects

Strong technical skills in data analytics, machine learning, big data technologies and/or experience leading teams in this area

Proficiency in Python, R, Julia or other data science languages and/or experience leading teams in this area

Demonstrated success collaborating with a variety of stakeholders on business-critical projects

Excellent interpersonal and communication skills (verbal and written) across all levels of the organization

Preferred

Demonstrated leadership experience with five plus (5+) years directly managing teams

Exposure to the energy industry

Exposure to petroleum engineering, machine learning, and data science concepts

High level of business/ financial acumen

Intimate knowledge of technology used in business processes

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