The Senior Product Manager will be a product leader tasked with developing and executing against the Data Product Strategy that would leverage and enhance products across various lines of business. Specifically, the SPM will be responsible for spending time and developing deep relationships with our key business stakeholders across GWS & Corporate to truly bring their data science needs to the forefront and influence the business and product roadmaps. They will report to Vice President of Data Product Management.

The SPM must have a passion for developing digital and technology powered products that blend seamlessly with customer's workflows and provide the right information at the right time. The individual must possess technical expertise in new and emerging data science AI/ML fields, project management experience and a strong knowledge of product management, data analytics, and a keen desire to understand current customer pain points.

What you'll do

• Lead and define the product/platform strategy and roadmap for Data Science projects
• Be embedded in the business to truly understand the needs of the customer and build the roadmap from there on out
• Own the functional vision of the products; identify and manage risks, dependencies, and opportunities. Leverage emerging technology knowledge to amplify product development
• Stakeholder management: Effectively communicate the status, value, and importance of data science products to executive teams across the company. Manage a unified data science roadmap taking the intent from relevant business teams. Drive feature prioritization and influence decisions to package scope for monthly/quarterly delivery
• Facilitate conversations between all impacted stakeholders, including executives, data scientists, ML Ops experts, engineers, analysts, other product teams, and external customers
• Instigate a feedback loop with core customer groups, to understand their specific user requirements.
• Recent experience in working on Natural Language Processing solutions, LLMs like GPT, LLaMa etc
• Deep understanding of machine learning, deep learning, natural language processing, statistical modelling & optimization. Must have an understanding of algorithms underpinning various statistical models from regression, classification, clustering to optimization and decision theory
• Be able to influence at all levels of the organization.

What you'll need

• At least 7+ years previous experience in data and related product/program management
• Relevant Product and data leadership experience, comfortable with ambiguity and able to influence and consult
• Proven track record leading product delivery in an agile development environment.
• Strong empathy with end user experience.
• Strong communicator - able to communicate a narrative that aligns the use of data with a company's overall commercial strategy.
• Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight to twelve years of related experience and/or training, including five years of experience at the management level
• The successful candidate will be a highly quantitative, resilient, results-oriented leader

• Forward-thinking, and well-versed in emerging data technologies and trends
• The individual must be a strategic thinker who can solve issues as well as build processes for growth
• Good balance between analytical, business and technical skills
• Excellent communicator: capable of articulating the right narrative to all key internal and external stakeholders to ensure strong support and sponsorship
• Customer-centric mindset with a passion for creating good user experiences, as evidenced by high customer satisfaction scores
• Significant product management experience, where s/he owned the product road map
• The ability to attract and recruit top talent, motivate the team, delegate effectively, celebrate diversity within the team, and manage performance; seen as a strong, developer of future leaders
• Leads by example and drives the organization's performance with an attitude of continuous improvement

Leadership & Vision:

Drives excellence through skillful prioritization and allocation of the problems to be solved amongst adequately resourced teams. Highly influential

Communication: Outstanding written and verbal communication skills. Ability to adopt a range of styles, tools and techniques and to vary these subjects to the audience and content at stake.

Highly Analytical Thinking: Ability to simplify complex problems or projects into component parts, exploring and evaluating them systematically.

Agile Decision Making: Ready and able to take initiative, taking a proactive approach to work without close supervision. Hungry for data rather than opinions to make informed decisions.

Teamwork: Highly collaborative, constructive attitude and approach.

Why CBRE?

At CBRE, we believe we possess an encouraging environment where integrity, service, and excellence craft our approach to every opportunity. We are guided by the needs of the cities we inhabit, the communities we build and the world we live in.

• FORTUNE 500 #126
• FORTUNE Most Admired Company #1 in real estate for third consecutive year; Ten years in a row on the list!
• Forbes Named one of the best large employers in America and one of the World's Best Employers!

CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training, and experience. The minimum salary for the Sr Manager Data Product - AI/ML & Data Science position is 165,000.00 annually [or $79.32 per hour] and the maximum salary for the Sr Manager Data Product - AI/ML & Data Science position is $180,000.00 annually [or $86.53 per hour]. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. Successful candidates will also be eligible for a discretionary bonus based on CBRE's applicable benefit program.

Equal Employment Opportunity: CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

NOTE: Some, but not all, of our positions may have an additional requirement to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing. If you have questions about the requirement(s) for this position, please inform your Recruiter.

CBRE GWS

CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.

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