Data Management Specialist

Pay rate range - $75/hr. to $77/hr.

Schedule: Fully onsite

Job Description: Data Product Manager – Marketing Activations

Top skills:

-Data Analytics

-Product Management

-LLMs

KEY RESPONSIBILITES/REQUIREMENTS:

Responsibilities:

• Drive data and product work across multiple data products day to day, from requirement to delivery

• Turn directions from the product leads into clear priorities, user stories, and acceptance criteria

• Do analysis yourself using SQL and Python to answer questions and check results

• Review analysis, numbers, and code from analysts and Data Science, and challenge them when something does not add up

• Partner with other PMs in the team for data modeling, segmentation, and measurement work

• Track how products and marketing are performing and share results, learnings and corrective decisions to leadership

• Leverage generative AI for all aspects of product management – discovery, planning, documentation, trainings docs to name a few

• Automate repeat tasks with generative AI

Qualifications:

• Master's degree in computer science, engineering or other quantitative fields

• 6+ years of experience in analytics or adjacent data focused product management. Hands on data analytics consulting experience is highly preferred.

• Experience working in marketing domains – CRM, AdTech is required

• Proficient in SQL and Python

• Experience working with data teams in cloud environment (Azure, GCP, or AWS)

• Proven record of levering Generative AI in the field of work and or personal projects

• Strong opinion and direction on how Product Management needs to evolve with AI and what would the new day to day would look like

• Excellent communication and interpersonal skills, with the ability to influence and collaborate across diverse teams and leadership

• Ability to manage multiple projects simultaneously, prioritize tasks effectively, and deliver results under tight deadlines.

• Strong problem-solving and analytical skills, with the ability to make data-driven decisions.

• Experience working in a fast-paced, agile environment and adapting to changing priorities.