CDNA_Sr Manager – Media Data Ops

Biopharma Careers; Hyderabad; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Amgen in Hyderabad is seeking a senior BI & Data Engineering leader to set the strategy and roadmap for MSO data platforms and dashboards. You will oversee data ingestion, transformation, and BI delivery, translating business questions into actionable analytics.

Ideal candidates have 12–15 years in data analytics with 3+ years of people leadership, strong AWS/Databricks experience, and a track record of scalable data platforms and governance.

Qualifications

• Master’s/Bachelor’s/PhD in Data Engineering, Information Systems, or related quantitative field.
• 12–15 years in media analytics, digital data ops, or MarTech with 3+ years of people management.
• Experience designing and scaling data platforms on AWS, Databricks, or equivalent cloud infra.

Responsibilities

• Set BI & Data Engineering strategy and direction for MSO, aligning ingestion, transformation, and dashboard consumption.
• Lead BI Delivery, Design, and Business Translation across MSO dashboards and trackers.
• Own Data Engineering excellence including ingestion, transformation, DQM, and BI-ready aggregation layers.
• Drive Agile Ops, governance, and predictable delivery for BI and Data Engineering teams.
• Lead executive and cross-functional dashboard readouts and ensure actionable insights.

Skills

Leadership in data analytics

Stakeholder management

Communication to executives

Education

Master’s / Bachelor’s / PhD in Data Engineering or Information Systems

Tools

AWS

Databricks

Job description

Career Category

Engineering

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission, to serve patients, drives all that we do.

Live | What you will do

• Set BI & Data Engineering Strategy and Direction – Define and own the integrated BI and Data Engineering strategy for MSO, ensuring alignment between data ingestion, transformation, and dashboard consumption.
• Establish long‑term roadmaps for MSO’s data backbone and BI products, balancing scale, reliability, flexibility, and speed.
• Act as the senior authority on data‑to‑decision enablement, ensuring outputs are not only technically correct but business‑relevant and decision‑ready.
• Lead BI Delivery, Design, and Business Translation – Oversee BI delivery across MSO (e.g., ELL, Media Goals, HCP/DTC Trackers, Web and Competitive Intelligence dashboards).
• Ensure mockup‑driven design practices are embedded, translating business questions into structured dashboard designs and build‑ready specifications.
• Guide teams in strengthening business logic understanding, KPI interpretation, and narrative framing behind dashboards.
• Lead and/or sponsor executive‑and brand‑level dashboard readouts, ensuring insights are clearly communicated and actionable.
• Own Data Engineering Excellence & Platform Reliability – Provide senior oversight of MSO’s data engineering foundation, including ingestion (file‑based and API‑driven), transformation, DQM, and BI‑ready aggregation layers.
• Establish and enforce data engineering best practices (scalable pipeline patterns, testing, observability, recovery, and documentation).
• Ensure operational excellence across Databricks/S3 pipelines powering BI, web analytics, and 3rd‑party competitive datasets.
• Ensure quality control and release readiness – Own operational health of MSO ingestion and processing, logging, monitoring, DQM validation, publish/stitch status tracking, and automated notifications when feeds or taxonomy inputs fail.
• Own release operationalization by maintaining runbooks, validation notebooks/checklists, and production observability artifacts (ingestion logs, error traces, alert routing) so deployments are traceable, recoverable, and supportable.
• Drive Agile Ops, Governance, and Predictable Delivery – Own MSO’s Agile operating model across BI and Data Engineering, ensuring clear backlogs, prioritization, sprint discipline, and dependency management.
• Establish delivery governance that enables predictable releases, transparent trade‑offs, and proactive risk management.
• Ensure strong KPI traceability, documentation standards, and release discipline across all BI and data assets.
• Executive Stakeholder & Cross‑Functional Leadership – Serve as a senior leader and escalation point across MIO, brand teams, Decision Sciences, engineering, and vendors.
• Influence prioritization and investment decisions by aligning MSO capabilities with commercial and strategic needs.
• Build strong partnerships with senior stakeholders by consistently delivering trusted data and insights.
• People & Org Leadership – Lead, develop, and scale BI Managers, Data Engineering Managers, and their teams.
• Set clear expectations for ownership, quality, and leadership behaviors across the org.
• Build a high‑performance culture focused on accountability, continuous improvement, and business impact.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

Basic Qualifications

• Master’s /Bachelor's degree or PhD in Data Engineering, Information Systems, or a related quantitative field.
• 12 - 15 years of experience in media analytics, digital data ops, or MarTech roles, with at least 3+ years of people management.
• Deep understanding of digital media ecosystems and hands‑on experience with campaign data flows from ad platforms to dashboards.
• Demonstrated success designing and scaling data platforms on AWS, Databricks, or equivalent cloud infrastructure.
• Strong delivery leadership skills and comfort managing stakeholders across marketing, engineering, and external vendors.

Preferred Qualifications

• Background in the pharma industry or other regulated domains with compliance requirements for media data.
• Experience managing vendor ecosystems, campaign data pipelines, and reporting operations across multiple brands or markets.
• Familiarity with campaign activation tools (e.g., Salesforce plugins, Datorama, SFMC) and taxonomy/tagging standards.
• Strategic mindset with the ability to lead capability building while maintaining operational stability.
• Strong written and verbal communication skills; experience presenting data strategy to executive audiences.