Company Description
TechStar Group is a Cloud & Digital Transformation Advisory and implementation services company headquartered in Dallas, TX, dedicated to being a trusted partner in transforming businesses. With a Client First approach, we focus on understanding and exceeding client expectations by delivering tailored solutions that align with their unique goals. Our expertise in business solutions, IT services, and process improvement helps organizations unlock new opportunities and accelerate growth. We lead the way in developing cutting-edge, industry-specific solutions through forward-thinking frameworks and accelerators, collaborating closely with clients to drive lasting impact.
Role Description
This is a full-time hybrid role for a Program Management - Data Platform/Data Engineer at TechStar Group in Hyderabad, with flexibility for remote work. The role involves day-to-day tasks such as program management, data platform management, and data engineering activities to support business objectives and drive innovation.
Technical Program Manager Senior Consumer Data Platform
Description
WHAT YOU WILL BE RESPONSIBLE FOR:
- Orchestrating the work of 2-3 Consumer Data Platform scrum teams so that they deliver business value and execute on their roadmap with discipline and high velocity.
- Partnering with product owners on the team to ensure the team understands the work the team is accountable for delivering and the value to the organization.
- Having understanding of what the team must deliver, partner with engineering leads on the team to explore the tradeoffs of various solution options, align on solution architecture and break down the engineering work needed to deliver.
- Creating believable and achievable plans based on engineering work and dependencies that generate confidence that the team can deliver to committed dates.
- Orchestrating execution across one or more sprints to successfully ship features on time and under budget looking around the corner for blockers and proactively working with your team, partners and leaders to create visibility and remove them.
- Being the scrum master for your team. Own Agile planning, standups, demos, retrospectives and the execution of your sprints.
- Making sure solutions/software built is compliant with agreed SDLC process artifacts and required artifacts are produced and tracked in a timely manner.
- Keeping technical debt in check and ensuring teams are building using modern practices and tools, driving necessary changes for the entire development community.
- Cultivating operational excellence within your teams. Insist that your teams provide timely resolution of identified production defects. Understand SLAs and how your systems are performing in relation to them.
- Operating successfully in ambiguous environments with a high degree of ownership, customer obsession and bias for action while insisting on high standards for yourself and others.
- Clearly Communicating upward and outward verbally and in writing.
- Being a continuous learner be it business models, engineering practices or data technology platforms.
Qualifications
- Bachelor's degree in a technical discipline (preferably computer science) or equivalent experience.
- 7+ years of software engineering, data engineering, data analytics, or business intelligence development experience, in addition to 3-5 years of project/program management experience working directly with data and analytics technical teams.
- Strong experience in planning, estimating and execution using lean-agile techniques. Knowledge of Jira and Confluence is required.
- Understanding of one or more data and cloud platforms required Big Data/Hadoop/Spark, Data Warehouse, Data Lakes, Tableau, data ingestion tools like Abnitio and cloud technologies like Snowflake, AWS, etc.
- Strong verbal and written communication skills and experience working with technical management teams.
- Strong organizational and coordination skills along with multi-tasking capabilities to get things done in an ambiguous fast paced environment.
- Ability to motivate and drive collaborative effort to reach challenging goals.
- Interpersonal skills, including relationship building within a diverse, cross-functional team.
- Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions and recommendations.
