What are the responsibilities and job description for the Senior Technical Product Manager - Data Platforms & Analytics position at Artmac?
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Senior Technical Product Manager - Data Platforms & Analytics
Job Type : C2C
Experience : 10 - 25 years
Location : Austin, Texas (Hybrid)
Responsibilities
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Senior Technical Product Manager - Data Platforms & Analytics
Job Type : C2C
Experience : 10 - 25 years
Location : Austin, Texas (Hybrid)
Responsibilities
- 10 years of Relevant experience in a Technical Product Management role, at large-scale, hyper-growth enterprises.
- Having successfully delivered product to market by owning the entire product lifecycle. Experience creating product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, leading design discussions keeping end-user experience as the north star.
- Apple experience is a Plus and Look for only product-based experience profiles.
- Highly analytical demeanor with an ability to make decisions using both quantitative and qualitative data to gauge competing priorities across business units in multiple geographies. Quickly move between contexts, and demonstrate agility and focus while continuing to deliver.
- Prior experience in user research conducting customer/partner/developer interviews to identify their needs. Great presentation, articulation, and negotiation skills.
- Significant experience and proficiency with modern databases (Snowflake/Teradata/AWS/SingleStore, etc.) along with experience in integrating with front-end technology stacks.
- Strong understanding of the technical architecture of data pipelines, data warehousing, and data management systems and knowledge of data lifecycle design and methodologies
- Proven expertise in understanding the needs of the data engineers and partnering across Employee Engagement, Engineering, and Dev Ops to deliver compelling products that meet those needs.
- Bachelor’s or Master’s degree in Computer Science, or a related field.
