Job Overview The Director of Engineering & Analytics is responsible for leading the Data Engineering and Reporting & Analytics organisations, driving technical excellence in data infrastructure and customer-facing reporting capabilities.

This role is accountable for the technical delivery of data pipelines and platforms, in-product reporting and dashboarding, and external data APIs.

The Director will lead a distributed team of over 20 engineers located in Hyderabad, India and Dublin, composing of Data Engineers, Software Engineers, and Analytics Engineers.

This is a strategy and execution-focused leadership role, responsible for defining the technical direction and ensuring delivery against the unified reporting vision.

This role partners closely with the Product team, who own product direction, to translate requirements into scalable, high-quality technical solutions.

The Director also partners with the AI & Data Architect on data architecture decisions.

This role reports to the Chief AI Officer based on Ireland and into the VP of Engineering based in India.

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 Partner with Product and senior leadership to inform vision and planning for data engineering and reporting capabilities aligned to Technology and AI strategy.

Lead a distributed team of engineers across India, Ireland and the United States with 6 direct reports.

Own the technical delivery of data pipelines, ETL/ELT processes, and data platform infrastructure to support reporting and analytics capabilities.

Own the technical delivery of in-product reporting capabilities, including dashboards, visualisations, and self-service analytics features.

Define and execute the technical strategy for data and reporting capabilities, ensuring scalable, performant, and maintainable solutions.

Partner with the AI & Data Architect on data architecture decisions and ensure alignment with broader platform strategy.

Collaborate with DevOps, SRE, UX, and QA teams to ensure operational excellence and quality.

Engage with Customer Success and Professional Services to understand customer needs and inform technical delivery.

Maintain a high-performance team culture and ensure operational objectives are met across multiple time zones.

Mentor direct and indirect reports to improve professional expertise and career development.

Manage team performance reviews, resource allocation, and retention strategies.

Ensure compliance with data governance, security, and regulatory requirements.

Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

Extensive experience in data engineering and, with a track record of delivering data platforms.

Strong experience with AWS and modern data engineering technologies including data lakes, lakehouses, ETL/ELT pipelines, and real-time data processing.

Strong experience with modern analytics technologies including data transformation tools (dbt) and data warehouses (Snowflake, Redshift, or similar).

Proven ability to build and scale distributed engineering teams, including managing through team leads across multiple locations.

Strong understanding of data modelling, dimensional design, and analytics best practices.

Strong communication and stakeholder management skills, with experience partnering with Product teams and influencing at executive level.

Preferred

Experience: in B2B SaaS or HR Technology environments.

Background in delivering customer-facing reporting solutions, including dashboards, self-service analytics, or embedded BI.

Experience: with KPI implementation, data visualisation, and analytics enablement.

Experience: in analytics leadership roles and delivering customer-facing reporting capabilities.

Familiarity with API design for data products and external integrations.

Experience: in high-growth, dynamic environments with distributed teams across multiple time zones. 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
Partner with Product and senior leadership to inform vision and planning for data engineering and reporting capabilities aligned to Technology and AI strategy.

Lead a distributed team of engineers across India, Ireland and the United States with 6 direct reports.

Own the technical delivery of data pipelines, ETL/ELT processes, and data platform infrastructure to support reporting and analytics capabilities.

Own the technical delivery of in-product reporting capabilities, including dashboards, visualisations, and self-service analytics features.

Define and execute the technical strategy for data and reporting capabilities, ensuring scalable, performant, and maintainable solutions.

Partner with the AI & Data Architect on data architecture decisions and ensure alignment with broader platform strategy.

Collaborate with DevOps, SRE, UX, and QA teams to ensure operational excellence and quality.

Engage with Customer Success and Professional Services to understand customer needs and inform technical delivery.

Maintain a high-performance team culture and ensure operational objectives are met across multiple time zones.

Mentor direct and indirect reports to improve professional expertise and career development.

Manage team performance reviews, resource allocation, and retention strategies.

Ensure compliance with data governance, security, and regulatory requirements.

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

Extensive experience in data engineering and, with a track record of delivering data platforms.

Strong experience with AWS and modern data engineering technologies including data lakes, lakehouses, ETL/ELT pipelines, and real-time data processing.

Strong experience with modern analytics technologies including data transformation tools (dbt) and data warehouses (Snowflake, Redshift, or similar).

Proven ability to build and scale distributed engineering teams, including managing through team leads across multiple locations.

Strong understanding of data modelling, dimensional design, and analytics best practices.

Strong communication and stakeholder management skills, with experience partnering with Product teams and influencing at executive level.