Job Overview At iCIMS, we're redefining how people connect with opportunity through intelligent, human-centred technology.

We're seeking a Technical Project Manager to lead the delivery of data engineering and analytics initiatives across our Hyderabad-based teams, coordinating cross-functional programmes that deliver data pipelines, APIs, reporting capabilities, and analytics solutions that power our AI-driven products.

You'll partner with the Director of Data Engineering & Analytics and technical leads to translate data strategies into executable delivery plans.

You'll coordinate across data engineering, data streaming, and analytics teams to ensure high-quality, on-time delivery in a culture that values innovation, ownership, and continuous learning.

About Us When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent.

Our customers do amazing things:

design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile.

As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent.

We’re passionate about helping companies build a diverse, winning workforce and about building our home team.

We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.

Responsibilities Own end-to-end delivery of data engineering and analytics programmes, including planning, execution, monitoring, and release Partner with product managers and technical leadership to translate data and analytics requirements into executable delivery plans Coordinate across data engineering, data streaming, and analytics teams to deliver integrated solutions Manage complex project plans, milestones, dependencies, risks, and resource allocation across multiple concurrent workstreams Drive delivery using agile methodologies, ensuring transparency and predictable outcomes Establish clear governance, reporting, and communication across technical and business stakeholders Proactively identify programme risks and work with teams to resolve blockers and maintain delivery momentum Track and report on delivery metrics, milestones, and outcomes to leadership Support planning and prioritisation activities with the Director of Data Engineering & Analytics and technical leads Continuously improve delivery processes and ways of working across the data engineering and analytics organisations Qualifications Bachelor's degree or equivalent professional experience 5+ years of experience delivering technical projects in software or product-led organisations Strong programme management skills, including scope, schedule, risk, and stakeholder management Proven ability to work effectively with engineering and technical teams

Experience: working in agile environments (e.g., Scrum, Kanban) Understanding of data engineering workflows, including ETL/ELT pipelines, data platforms, and API development Familiarity with analytics and reporting technologies Strong analytical and problem-solving skills Strong communication and collaboration skills across both technical and non-technical teams

Experience: with project management tools (e.g., Jira, Confluence) Preferred

Experience: delivering data engineering projects, including data pipelines, warehouses, or platforms

Experience: delivering analytics or business intelligence initiatives Understanding of modern data technologies and cloud platforms (e.g., AWS, Azure, GCP)

Experience: coordinating delivery across distributed teams in multiple locations Familiarity with data streaming technologies and API development Professional project management certification (e.g., PMP, Scrum Master) EEO Statement iCIMS is a place where everyone belongs.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.

So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.

If you’d like to request an accommodation due to a disability, please contact us at careers@icims.com.

Compensation and Benefits Competitive health and wellness benefits include medical insurance (employee and dependent family members), personal accident and group term life insurance, bonding and parental leave, lifestyle spending account reimbursements, wellness services offerings, sick and casual/emergency days, paid holidays, tuition reimbursement, retirals (PF - employer contribution) and gratuity.

Benefits and eligibility may vary by location, role, and tenure.

Learn more here:
https://careers.icims.com/benefits
Own end-to-end delivery of data engineering and analytics programmes, including planning, execution, monitoring, and release Partner with product managers and technical leadership to translate data and analytics requirements into executable delivery plans Coordinate across data engineering, data streaming, and analytics teams to deliver integrated solutions Manage complex project plans, milestones, dependencies, risks, and resource allocation across multiple concurrent workstreams Drive delivery using agile methodologies, ensuring transparency and predictable outcomes Establish clear governance, reporting, and communication across technical and business stakeholders Proactively identify programme risks and work with teams to resolve blockers and maintain delivery momentum Track and report on delivery metrics, milestones, and outcomes to leadership Support planning and prioritisation activities with the Director of Data Engineering & Analytics and technical leads Continuously improve delivery processes and ways of working across the data engineering and analytics organisations
Bachelor's degree or equivalent professional experience 5+ years of experience delivering technical projects in software or product-led organisations Strong programme management skills, including scope, schedule, risk, and stakeholder management Proven ability to work effectively with engineering and technical teams

Experience: working in agile environments (e.g., Scrum, Kanban) Understanding of data engineering workflows, including ETL/ELT pipelines, data platforms, and API development Familiarity with analytics and reporting technologies Strong analytical and problem-solving skills Strong communication and collaboration skills across both technical and non-technical teams

Experience: with project management tools (e.g., Jira, Confluence)