Responsibilities
Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery.
Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability.
Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification.
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate goals into actionable plans.
Track progress using Agile or hybrid methodologies, escalating blockers and resolving dependencies.
Own the lifecycle of tasks - from planning through execution, delivery, and retrospectives.
Ability to create Tableau reports
Key Technical Skills:
Strong grasp of data pipelines, data architecture, and analytics platforms (e.g., Snowflake, Tableau).
Familiarity with AI/ML workflows, model lifecycle, and experimentation frameworks.
Experience managing complex, multi-track projects.
Skilled in project tracking tools like Jira, Confluence, or equivalent.
Excellent communication and coordination across technical and non-technical teams.
Proven experience working with cross-functional, globally distributed teams.
Additional Skills:
Agile/Scrum or SAFe certifications preferred.
Exposure to cloud platforms (AWS, GCP, Azure) and modern DevOps practices.
Capable of creating executive-level dashboards and summaries.
Strong analytical and problem-solving mindset.
Behavioral Skills:
Excellent verbal and written communication – able to clearly articulate details to both technical and non-technical audiences.
Excellent time management and organizational skills.
Strong cross-functional collaboration skills, relationship building skills and ability to achieve results
Team coordination and customer interaction.
Accountability, adaptability, problem-solving, conflict resolution.
Education:
Bachelor's degree in business, Information Technology, or any related field
Certification:
Agile/Scrum or SAFe certifications preferred.
Bachelor's degree in business, Information Technology