Truveta: Senior Technical Program Manager, Data — Hyderabad, India

About Truveta

Truveta is a health-data and analytics company. It aggregates de-identified electronic health record data from a network of United States health systems into a research dataset for studying treatments, outcomes and patient care pathways, serving life-science and health researchers. The platform is owned and governed by the participating health systems, and its employer feed lists engineering, data and clinical roles supporting the work.

The position and its setting

Truveta lists Senior Technical Program Manager, Data in Hyderabad, India, under reference 6207309004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering
• Employer listing date: 24 September 2026

Responsibilities and work described

• In this role you will:
• Own programs from problem definition and planning through delivery, adoption, and post-launch measurement
• Building: and maintain roadmaps, milestones, dependency maps, risk registers, decision logs, and the delivery mechanisms that keep them useful
• Partner with engineering and data teams on architecture, technical constraints, sequencing, and delivery risk, at a depth that lets you challenge the plan rather than only record it
• Coordination: data-source onboarding, ingestion, transformation, normalization, enrichment, and validation programs
• Drive resolution of data-quality issues, operational defects, and recurring pipeline failures, including the root-cause work that stops them recurring
• Coordination: data governance, access control, privacy, security, metadata, lineage, and compliance initiatives
• Identify cross-team blockers and drive them to resolution without relying on formal authority
• Facilitate technical reviews and ensure major decisions, trade-offs, assumptions, and risks are written down where people will find them
• Coordination: launch readiness, release management, operational support, and post-launch reviews
• Preparation: clear written updates and recommendations for engineering and business leadership across India and Seattle
• Improvement: program management practice, reporting automation, delivery predictability, and operational maturity at the site

Essential requirements and candidate background

• The experience requirement is 11+ years in total, composed of 7+ years in a hands-on individual-contributor technical role and 4+ years in a technical program or project management role
• The two are counted separately and added; a year spent doing both is counted once
• At least 1 1 years of professional experience in total
• At least 7 years in a hands-on individual- contributor in technical roles such as software engineering, quality assurance, data engineering, analytics engineering, systems engineering, or platform engineering
• At least 4 years in a technical program management or technical project management role, owning delivery across engineering teams
• Experience delivering programs involving data platforms, data pipelines, data governance, analytics infrastructure, or distributed systems
• Knowledge: data ingestion, ETL and ELT, batch and streaming pipelines, APIs, databases, cloud platforms, and data quality
• Read architecture diagrams and hold a substantive conversation with engineers about designs, trade-offs, dependencies, and operational risk
• Experience managing dependencies across multiple teams, driving requirements, delivery plans, risk management, release readiness, and adoption
• Written communication, including executive status reporting and written recommendations that carry out a decision
• Operat e in ambiguity and influencing teams
• Familiarity: Agile development, release processes, incident management, and production operations
• Bachelor's degree in computer science, engineering, information systems, mathematics, or equivalent practical experience

Preferred experience and additional strengths

• The following skill sets would be good to have:
• SQL or equivalent data-querying ability used in practice rather than in principle
• Hands-on background with Kafka, Spark, Flink, Airflow, dbt, Snowflake, BigQuery, Redshift, Databricks, AWS Glue, or comparable platforms
• Experience: data governance, metadata, data lineage, access control, privacy, security, or compliance programs
• Experience: external data suppliers, healthcare data, financial data, or other regulated datasets
• Experience operating data platforms against measurable uptime, freshness, accuracy, completeness, latency, and cost targets
• Experience managing distributed programs across India and the United States
• Experience standing up program management practice at a new site or in a new platform area
• Familiarity: Jira, Confluence, Aha, Linear, Asana, Smartsheet, or equivalent tools

Location, schedule and contract conditions

• Advertised location: Hyderabad, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Technical Program Manager, Data vacancy is not an offer for reference 6207309004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Truveta

Applications follow the official employer page linked below.

Open the official Truveta posting below and match the title and reference 6207309004.

Compare your qualifications and experience with the essential conditions for the Hyderabad, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• Spark
• Kafka
• AWS
• APIs
• AI
• quality assurance
• risk management
• compliance
• project management
• stakeholder management