Senior Project Manager - Data Science

Project Manager

Location: Houston TX, US

Employment type: Consultant (full time) - 12-18 months

Moative , an Applied AI Services company, designs AI roadmaps, builds co-pilots and agentic

AI solutions for companies in a range of industries including energy and utilities. Through our

labs we build AI-led products and launch AI startups in vertical markets.

Our founders and leaders are math PhDs, Ivy League university alumni, ex-Googlers, and

successful entrepreneurs, who have built and sold companies earlier.

Business Context

Moative is building a ‘state of the art’ ensemble of models for power trading for a client of ours. We develop advanced AI/ ML models for load forecasting, energy price analysis and estimation, customer

analytics and related areas. We have a top decile offshore team consisting of AI/ML engineers

and quants/data scientists with strong credentials working out of Chennai, India. We are

looking for a senior leader with strong analytics and project management experience to work

from the client offices in Houston TX, US.

Work you’ll do

As a Senior Project Manager, you will steer an engagement that is already in full speed. We

are building innovative, state-of-the-art algorithms and platform-driven deployment that is

done for the first time in the power industry. The client, and the team are driven. We need you

to hit the ground running on Day 1.

Responsibilities

 Client Engagement: Act as the primary point of contact for clients, ensuring their

needs and expectations are understood and met. Build and maintain strong

relationships with key stakeholders that include the C-Suite, Traders, Data Scientists,

and Architects

 Workstream Identification and Prioritization: Identify new workstreams and prioritize

them based on client needs and organizational goals. Develop project backlogs and

workstreams for the offshore AI/ML team that align with these priorities.

 Project Coordination: Act as the primary point of contact between the client team and

offshore teams, ensuring clear communication and alignment on project goals. You

will work with the client business SMEs to define and agree on project goals, scope

and deliverables. Knowledge of analytics, machine learning, and data engineering

lifecycles is key. You will be in a room with data scientists, risk managers, and data

engineers. You need to understand and steer the conversation as an expert.

 Team Management: Supervise the offshore AI/ML team and ensure they meet project

milestones and deliverables. You will ensure that the offshore team is receiving the

right domain and technical guidance and support from the onsite Energy SME

 Business and Industry Oversight: Develop a deep understanding of the client’s

business, applications of AI/ML in their business and provide the necessary business

oversight and support.

 Quality Assurance: Work with the offshore project manager to implement quality

assurance processes (unique to data engineering, model development, and model

productionizing) that ensure that all deliverables meet the highest standards of

accuracy and reliability.

 Client Expectation Management: Regularly update clients on project progress, manage

their expectations, and ensure satisfaction through timely delivery and high-quality

work.

 Delivery Management: Oversee the delivery of project milestones and final

deliverables, ensuring they meet the predefined criteria and timelines.

 Risk Management: Identify potential risks and develop mitigation strategies to ensure

project success.

 Stakeholder Communication: Regularly update stakeholders on project progress,

challenges, and achievements.

Who you are

You are a Project Manager who is passionate about using robust project management

practices to deliver quality solutions and products that delight customers. You have

experience managing projects in an onsite-offshore model with significant client engagement.

You have strong experience of working on data-driven solutions (analytics at the minimum

and ideally strong ML/AI project delivery experience), and preferably some experience

working in the energy and utilities industry.

You also have a keen interest, even if non-technical, in AI and it can be used to benefit energy

and utilities businesses. You thrive on taking initiatives, are very comfortable with ambiguity

and can passionately defend your decisions.

Requirements and skills

 At least 10 years of experience in Project Management in an onsite-offshore model,

with 2 in the energy and utilities sector.

 Communication Skills: Excellent verbal and written communication skills, with the

ability to effectively collaborate with both technical and non-technical stakeholders.

 Problem-Solving: Proven ability to identify and resolve issues quickly and efficiently.

 Leadership: Strong leadership skills with the ability to motivate and manage remote

teams.

 Preferable Technical Skills: Understanding of software development lifecycle, and

knowledge of data driven solutions and AI/ML applications. If this role and our work

is of interest to you, please apply here. We encourage you to apply even if you believe

you do not meet all the requirements listed above.

You should demonstrate that you are in the 90th percentile or above. This may mean that you

have studied in top-notch institutions, won awards/ accolades for your work, or rated as an

outstanding performer by your current or previous employers.

The position is based out of our client offices in Houston TX, USA. Our work currently

involves significant in-person collaboration and we expect you to be present in the client

offices.

We expect candidates to have the legal status to stay and work in the US. We do not intend to

sponsor any visa transfers. This role will be in a consulting mode, not as an employee of our

client