Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Boston, MA
Live, first seen by us 41 days agoA major data integration initiative is underway to incorporate a recently acquired company into an existing enterprise data ecosystem.
Partner with technical teams on data mapping, harmonization, and integration design
Identify risks, gaps, and dependencies across workstreams
Support testing, validation, and downstream reporting impacts
Give clear updates and communication across stakeholders
A major data integration initiative is underway to incorporate a recently acquired company into an existing enterprise data ecosystem. We are looking for someone to serve as a core Business Analyst (AD level) who can connect multiple workstreams, drive clarity, and support all phases of the integration effort. The ideal candidate brings strong life sciences experience, deep data strategy expertise, and a solid understanding of pharma commercial analytics.
Partner with technical teams on data mapping, harmonization, and integration design.
Identify risks, gaps, and dependencies across workstreams.
Support testing, validation, and downstream reporting impacts.
Provide clear communication and updates across stakeholders.
8+ years in life sciences, with experience in data strategy or commercial analytics.
Strong knowledge of pharma commercial datasets (sales, claims, CRM/Veeva, SP/HUB, payer, etc.).
Experience with large‑scale data integrations or migrations.
Ability to translate business needs into structured technical requirements.
Strong communication and stakeholder‑management skills.
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure).
Ability to manage multiple workstreams in fast‑moving environments.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 41
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- Background in data governance or enterprise data architecture. - Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure). - Ability to manage multiple workstreams in fast‑moving environments.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Duration: 9–12 months
Start: Mid‑October
Industry: Life Sciences / Pharma
A major data integration initiative is underway to incorporate a recently acquired company into an existing enterprise data ecosystem. We are looking for someone to serve as a core Business Analyst (AD level) who can connect multiple workstreams, drive clarity, and support all phases of the integration effort. The ideal candidate brings strong life sciences experience, deep data strategy expertise, and a solid understanding of pharma commercial analytics.
Support all aspects of a large‑scale data integration program.
Develop a strong understanding of data sources, business processes, and analytics workflows.
Lead requirements gathering, documentation, and cross‑functional alignment.
Partner with technical teams on data mapping, harmonization, and integration design.
Identify risks, gaps, and dependencies across workstreams.
Support testing, validation, and downstream reporting impacts.
Provide clear communication and updates across stakeholders.
8+ years in life sciences, with experience in data strategy or commercial analytics.
Strong knowledge of pharma commercial datasets (sales, claims, CRM/Veeva, SP/HUB, payer, etc.).
Experience with large‑scale data integrations or migrations.
Ability to translate business needs into structured technical requirements.
Strong communication and stakeholder‑management skills.
Consulting experience preferred.
Background in data governance or enterprise data architecture.
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure).
Ability to manage multiple workstreams in fast‑moving environments.
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No pay amount identified in the saved description.
Boston, MA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.