Associate Director - Data Engineering

Lets do this. Lets change the world. In this vital role you will manage and oversee the development of robust data and analytic solutions, while mentoring and guiding a team of data engineers. You will be responsible for leading the development, implementation, and management of enterprise-level data and analytics applications that support the organization's data-driven strategic initiatives. You will continuously strive for innovation in the technologies and practices used for data engineering and develop a team of expert data engineers. This role will closely collaborate with counterparts in US and EU. You will collaborate with cross-functional teams, including, platform, functional IT, and business stakeholders, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient.

Roles & Responsibilities:

• Lead multiple data engineering teams that are responsible for product/project deliveries.
• Lead the planning, execution, and delivery of data and analytics solutions, ensuring they are completed on time, within scope, and within budget.
• Oversee the architecture, design, and implementation of scalable, high-performance data and analytic solutions (applications) that include data analysis, data ingestion, data transformation (data pipelines), and analytics.
• Develop and manage project plans, timelines, and budgets, and communicate progress to stakeholders regularly.
• Manage the RunOps for data pipelines and analytics solutions.
• Build and nurture strong relationships with stakeholders, emphasizing value-focused engagement and partnership to align data initiatives with broader business goals.
• Lead and motivate a high-performing data engineering team to deliver exceptional results.
• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
• Collaborate with counterparts in US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the requirements.
• Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.
• Drive adoption of the data and analytics solutions by partnering with the business stakeholders and functional IT teams in rolling out change management, trainings, communications, etc.
• Stay abreast of emerging data technologies and explore opportunities for innovation.
• Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
• Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
• Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions

Basic Qualifications:

• Masters degree and 10 to 14 years of computer science and engineering preferred, other Engineering fields will be considered OR
• Bachelors degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered OR
• Diploma and 18 to 20 years of computer science and engineering preferred, other Engineering fields will be considered
• 5+ years of experience managing a team of data engineers.
• 5+ years of experience in leading enterprise scale data and analytics solutions development.
• Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
• Experience using Databricks, Snowflake, Python, PowerBI, Tableau.
• Proven ability to lead and develop high-performing data engineering teams.
• Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
• Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously.

Preferred Qualifications:

• Prior experience in data modeling especially star-schema modeling concepts.
• Familiarity with ontologies, information modeling, and graph databases.
• Experience working with agile development methodologies such as Scaled Agile.
• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.

Education and Professional Certifications

• SAFe for Teams certification (preferred)

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.